{"meta":{"query_hash":"7e2f27a3903e","filters":{"venue":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/7e2f27a3903e","api":"https://metacan.xera.ac/api/v1/cohort?venue=2018+IEEE+CSAA+Guidance%2C+Navigation+and+Control+Conference+%28CGNCC%29"},"results":[{"id":"W3009043760","doi":"10.1109/gncc42960.2018.9018877","title":"Intelligent Path Planning and Following for UAVs in Forest Surveillance and Fire Fighting Missions","year":2018,"lang":"en","type":"article","venue":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Motion planning; Terrain; Computer science; Path (computing); Task (project management); Field (mathematics); Firefighting; Real-time computing; Plan (archaeology); Curse of dimensionality; Simulation; Artificial intelligence; Robot; Engineering; Systems engineering","score_opus":0.03172260241822751,"score_gpt":0.29047688730140436,"score_spread":0.25875428488317687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009043760","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05747672,0.0009581879,0.9358555,0.00021139099,0.00005269365,0.000081812075,0.000062019644,0.00048825098,0.00481346],"genre_scores_gemma":[0.70781934,0.0006812077,0.28851336,0.000058316367,0.000022630056,0.0001529982,0.00016890693,0.000039994648,0.0025432003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986315,0.000028431567,0.0000084004205,0.00003684863,0.000040529856,0.000022625312],"domain_scores_gemma":[0.9998658,0.000050807368,0.00003274032,0.0000118397575,0.000025372292,0.000013368283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021499924,0.00056415313,0.00038137386,0.00035600562,0.00060568616,0.00038905398,0.0004956035,0.0005019,0.0008421274],"category_scores_gemma":[0.0005943887,0.00025153428,0.00035255958,0.00040664637,0.00036222077,0.0005151508,0.0005293193,0.0004757831,0.00012216014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033295284,0.000018691358,0.00055803446,0.000052502917,0.000011256503,0.00007838728,0.000077364624,0.9526674,0.0042246766,0.0044076564,0.00066583586,0.037204918],"study_design_scores_gemma":[0.0000031264215,0.00002069064,0.00010866035,0.0000033545382,0.0000031913335,0.000017642538,0.0000138238,0.9976221,0.0005116465,0.0011356127,0.0005570928,0.000003111466],"about_ca_topic_score_codex":0.008959877,"about_ca_topic_score_gemma":0.0076451427,"teacher_disagreement_score":0.008959877,"about_ca_system_score_codex":0.00045965737,"about_ca_system_score_gemma":0.0009810798,"threshold_uncertainty_score":0.01781547},"labels":[],"label_agreement":null},{"id":"W3009582625","doi":"10.1109/gncc42960.2018.9018994","title":"Sliding Mode Guidance for 3D Gliding Motions with Bank Limitations","year":2018,"lang":"en","type":"article","venue":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","topic":"Guidance and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mode (computer interface); Terminal (telecommunication); Control theory (sociology); Sliding mode control; Computer science; Low altitude; Phase (matter); Terminal sliding mode; Domain (mathematical analysis); Surface (topology); Engineering; Aerospace engineering; Altitude (triangle); Nonlinear system; Mathematics; Telecommunications; Physics; Artificial intelligence","score_opus":0.03220152918724034,"score_gpt":0.24927017205319263,"score_spread":0.2170686428659523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009582625","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053988393,0.00022229632,0.9408357,0.00008522313,0.000036743713,0.00002564029,0.000028377315,0.00022928517,0.0045483494],"genre_scores_gemma":[0.96492565,0.00021857994,0.032216515,0.00003498543,0.000013161932,0.00008365504,0.000048348407,0.000017334974,0.002441975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999925,0.000014865149,0.000004691112,0.000013873204,0.000031405394,0.000010262437],"domain_scores_gemma":[0.9998735,0.00004665781,0.000028644718,0.000011952015,0.000030737683,0.000008535987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018489243,0.00046154208,0.00029242228,0.00024816455,0.00023796607,0.0004295009,0.00038137753,0.00046465886,0.0010917682],"category_scores_gemma":[0.0004299415,0.00017766836,0.0003509585,0.00016668488,0.00043598225,0.00035266514,0.0006207624,0.0004892421,0.00017174718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008498213,0.000021706835,0.0011068782,0.00011734067,0.000025331,0.00022768961,0.00030062595,0.9096592,0.024571326,0.015073739,0.00083064486,0.047980644],"study_design_scores_gemma":[0.000004844556,0.0000339816,0.000116825744,0.000003411992,0.0000019619974,0.000013343032,0.000012526732,0.99801046,0.0006615111,0.0007429651,0.00039497562,0.000003153937],"about_ca_topic_score_codex":0.004901287,"about_ca_topic_score_gemma":0.0023643237,"teacher_disagreement_score":0.004901287,"about_ca_system_score_codex":0.00025319427,"about_ca_system_score_gemma":0.00052077183,"threshold_uncertainty_score":0.009745538},"labels":[],"label_agreement":null},{"id":"W3009996116","doi":"10.1109/gncc42960.2018.9018657","title":"Analysis of Degree of Controllability based on Gramian for Solar Sails in Artificial Lagrangian Orbits","year":2018,"lang":"en","type":"article","venue":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Controllability; Controllability Gramian; Degree (music); Lagrangian; Satellite; Lagrangian point; Point (geometry); Mathematics; Aerospace engineering; Computer science; Solar sail; Control theory (sociology); Applied mathematics; Artificial intelligence; Control (management); Physics; Engineering; Geometry; Spacecraft; Classical mechanics","score_opus":0.03857995718398604,"score_gpt":0.2886678120490192,"score_spread":0.25008785486503315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009996116","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33854952,0.0001624226,0.65557617,0.00014662957,0.000021986834,0.00003843604,0.00010496597,0.00015007086,0.0052498174],"genre_scores_gemma":[0.9939832,0.00006369826,0.0052628056,0.000009986717,0.0000064539868,0.000020627267,0.00006198342,0.000009131288,0.0005821163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952734,0.00010704795,0.000021487995,0.000107261425,0.00013628004,0.000100632766],"domain_scores_gemma":[0.998833,0.0005537351,0.00024590426,0.00008382923,0.00019635134,0.00008721667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005823028,0.0005862226,0.0003833718,0.0007408441,0.00039648218,0.0006908979,0.0004194641,0.00035237044,0.0014852541],"category_scores_gemma":[0.0027166114,0.00016975307,0.0006791089,0.00033663347,0.0011241961,0.0010020655,0.000800793,0.0006660599,0.00006857742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017749709,0.000034183402,0.0041558873,0.00010316993,0.000052086492,0.00014280963,0.00019060788,0.9066997,0.011919251,0.06107203,0.00029362107,0.01515917],"study_design_scores_gemma":[0.0000035723906,0.000043140004,0.000967884,0.0000038407097,0.000005633339,0.000017064716,0.00002675841,0.9875008,0.0010043671,0.010303824,0.00011382788,0.000009321134],"about_ca_topic_score_codex":0.0064838906,"about_ca_topic_score_gemma":0.003408437,"teacher_disagreement_score":0.0064838906,"about_ca_system_score_codex":0.0007591072,"about_ca_system_score_gemma":0.0005399825,"threshold_uncertainty_score":0.012892306},"labels":[],"label_agreement":null}]}