{"meta":{"query_hash":"698a98ca0cf8","filters":{"venue":"Applied Science and Innovative Research"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/698a98ca0cf8","api":"https://metacan.xera.ac/api/v1/cohort?venue=Applied+Science+and+Innovative+Research"},"results":[{"id":"W2770348997","doi":"10.22158/asir.v1n2p131","title":"Socio-Economic Determinism and Climate Change","year":2017,"lang":"en","type":"article","venue":"Applied Science and Innovative Research","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Climate change; Government (linguistics); Psychological resilience; Global warming; Economy; Development economics; Political science; Geography; Economics; Ecology","score_opus":0.4188166328572261,"score_gpt":0.4237246573642886,"score_spread":0.004908024507062514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770348997","genre_codex":"other","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":[0.21252449,0.050592173,0.011677317,0.23664749,0.0015524237,0.000066297755,0.001330259,0.00008573204,0.48552385],"genre_scores_gemma":[0.97961867,0.009356134,0.0005807713,0.0015420478,0.00032977512,0.0000238835,0.00011243877,0.000011718947,0.008424616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99956495,0.00021488014,0.00000954466,0.000053346022,0.00006189639,0.00009547351],"domain_scores_gemma":[0.9988512,0.00061361934,0.00017556145,0.000079676975,0.000123229,0.00015671329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088717585,0.00023449372,0.00025321744,0.0006214816,0.000995102,0.0020127783,0.00023467152,0.0009812939,0.0056821075],"category_scores_gemma":[0.0018708557,0.00009936995,0.0002855269,0.0009605194,0.0033484595,0.0012857971,0.0015975754,0.001403604,0.0004045399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018542118,0.00004338955,0.01014629,0.00007110456,0.000035275792,0.00012984945,0.00064235163,0.002797545,0.00008807009,0.9620356,0.008115967,0.015876077],"study_design_scores_gemma":[0.0000049785135,0.000012890641,0.011196306,0.00008252155,0.000010100838,0.000057652083,0.00073349825,0.0014234608,0.00006156435,0.9263543,0.06005126,0.000011418951],"about_ca_topic_score_codex":0.0047497284,"about_ca_topic_score_gemma":0.005844702,"teacher_disagreement_score":0.0056821075,"about_ca_system_score_codex":0.0021351236,"about_ca_system_score_gemma":0.0010573756,"threshold_uncertainty_score":0.019008577},"labels":[],"label_agreement":null},{"id":"W2954664346","doi":"10.22158/asir.v3n3p92","title":"A Stochastic Simulation-Optimization Method for Generating Waste Management Alternatives Using Population-Based Algorithms","year":2019,"lang":"en","type":"article","venue":"Applied Science and Innovative Research","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","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":"Mathematical optimization; Computer science; Process (computing); Population; Stochastic optimization; Stochastic simulation; Stochastic process; Algorithm; Mathematics","score_opus":0.06961703694971053,"score_gpt":0.4230346416882911,"score_spread":0.3534176047385805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954664346","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":[0.0031333738,0.00005562259,0.9947284,0.000062034196,0.000015324407,0.000052048475,0.000014468206,0.00007701742,0.001861644],"genre_scores_gemma":[0.1831387,0.00016770556,0.8135019,0.00007976112,0.000028983735,0.0007727054,0.00008067608,0.00006399733,0.002165515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992077,0.0004840968,0.000025897049,0.000059301095,0.00018803087,0.00003507592],"domain_scores_gemma":[0.99864453,0.001051873,0.00007402365,0.000052552135,0.00013578453,0.00004122379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016731961,0.0007586039,0.0008411795,0.0008205637,0.0006472872,0.0006454425,0.001064348,0.00097625365,0.002755069],"category_scores_gemma":[0.0031960844,0.0005126421,0.0008771682,0.0009254047,0.00089477934,0.00059498503,0.0010505925,0.0011559702,0.0003113686],"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":[0.000013124155,0.000017739614,0.00012599351,0.000019259714,0.000018741663,0.00002417272,0.00002001414,0.97387654,0.0004751224,0.0141538335,0.00019026158,0.011065119],"study_design_scores_gemma":[0.000010739102,0.000011486992,0.000019756511,0.000004749283,0.0000040071886,0.000009103631,0.0000029364983,0.99582124,0.00014764558,0.0034567215,0.00050812593,0.000003545821],"about_ca_topic_score_codex":0.0039053482,"about_ca_topic_score_gemma":0.004543227,"teacher_disagreement_score":0.0039053482,"about_ca_system_score_codex":0.0007421135,"about_ca_system_score_gemma":0.0015659692,"threshold_uncertainty_score":0.009216666},"labels":[],"label_agreement":null}]}