{"id":"W2324130796","doi":"10.1139/juvs-2014-0001","title":"Entropic skill assessment of unmanned aerial systems (UAS) operators","year":2014,"lang":"en","type":"article","venue":"Journal of Unmanned Vehicle Systems","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Task (project management); Training (meteorology); Maturity (psychological); Scale (ratio); Machine learning; Artificial intelligence; Systems engineering; Psychology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006444471,0.0003359206,0.000183105,0.0006576246,0.0001505117,0.0003477964,0.000211609,0.0003557819,0.001035217],"category_scores_gemma":[0.004973805,0.0001043938,0.000123078,0.0001674305,0.0002239051,0.0003192298,0.0006395704,0.0001790826,0.0002137923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001466342,"about_ca_system_score_gemma":0.0002295809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001695681,"about_ca_topic_score_gemma":0.003098892,"domain_scores_codex":[0.999687,0.0001039188,0.00002239145,0.00004875747,0.000100027,0.00003805661],"domain_scores_gemma":[0.9984019,0.0007953829,0.0002547438,0.00009863522,0.0002623248,0.0001870294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00198885,0.001193077,0.4760181,0.0002908565,0.0001790804,0.0005836993,0.003568908,0.06201461,0.1205547,0.0009776659,0.001547438,0.3310829],"study_design_scores_gemma":[0.00004122312,0.001659955,0.6904891,0.00003871774,0.00003630919,0.000363338,0.001267483,0.2810235,0.0226996,0.001555224,0.0007578864,0.00006769613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983445,0.00002396197,0.01529369,0.00002588949,0.000004752597,0.00004138706,0.00006489674,0.00004120138,0.001059098],"genre_scores_gemma":[0.9950943,0.00002144478,0.004362411,0.00001000626,0.000004096514,0.00001764878,0.0000586259,0.000004638325,0.0004268067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001695681,"threshold_uncertainty_score":0.003463149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006232860471049675,"score_gpt":0.220599244344306,"score_spread":0.2143663838732563,"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."}}