{"id":"W4367155551","doi":"10.1139/dsa-2023-0019","title":"New topic horizons for drone systems and applications","year":2023,"lang":"en","type":"article","venue":"Drone Systems and Applications","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Thompson Rivers University","funders":"National Oceanic and Atmospheric Administration; University of Exeter","keywords":"Drone; Scope (computer science); Computer science; Data science; Artificial intelligence; History; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002354143,0.0001812663,0.0002348458,0.00007131117,0.0006485163,0.0001565017,0.0001700405,0.0001098007,0.00001419918],"category_scores_gemma":[0.000007357282,0.0001769651,0.00004361897,0.0005575565,0.0001300543,0.00009154702,0.0001024046,0.00009412196,0.0003847892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006146129,"about_ca_system_score_gemma":0.00002300218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001517634,"about_ca_topic_score_gemma":0.00006676342,"domain_scores_codex":[0.9985857,0.00002593578,0.0003397682,0.0005517246,0.0001782564,0.0003185898],"domain_scores_gemma":[0.99892,0.0001289323,0.0001211205,0.0005499864,0.00002129586,0.0002586627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001437531,0.0002300937,0.004705899,0.0006387596,0.0001393353,0.000001480609,0.001051448,0.00509664,0.02800803,0.4705399,0.1165016,0.3730724],"study_design_scores_gemma":[0.0003218683,0.00003493745,0.004648895,0.00001851506,0.00005099389,0.00002733356,0.0005961035,0.009397023,0.00005160216,0.002064692,0.9825229,0.0002651498],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02860877,0.002050989,0.931665,0.002494349,0.0002694116,0.009815656,0.0002936016,0.0008876214,0.02391458],"genre_scores_gemma":[0.962999,0.0003084777,0.002610839,0.00005267203,0.0009313895,0.003800936,0.0002328897,0.00006228214,0.02900147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9343902,"threshold_uncertainty_score":0.7216429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314697709398048,"score_gpt":0.2433163446433932,"score_spread":0.2301693675494128,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}