{"id":"W4320083233","doi":"10.32782/2663-6085/2022/53.1.20","title":"TRAINING SYSTEM FOR CANADIAN MILITARY PERSONNEL","year":2022,"lang":"en","type":"article","venue":"Innovate Pedagogy","topic":"Education and Military Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Military personnel; Aeronautics; Psychology; Medical education; Political science; Engineering; Medicine; Geography; Law; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001065245,0.0003056722,0.0002173412,0.002235641,0.01096236,0.002207944,0.001594423,0.000947365,0.02205174],"category_scores_gemma":[0.003086628,0.0003404913,0.0004121098,0.003182648,0.0006779378,0.0006404216,0.001786211,0.001149905,0.001543768],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1065865,"about_ca_system_score_gemma":0.2481592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969513,"about_ca_topic_score_gemma":0.9991015,"domain_scores_codex":[0.9979953,0.0001401583,0.0000456003,0.0001211138,0.0004330085,0.001264867],"domain_scores_gemma":[0.9958848,0.0001264323,0.0001497967,0.00005538071,0.001999161,0.001784399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005282385,0.0007224428,0.3787749,0.0006786583,0.00009268518,0.001019968,0.0149436,0.003045484,0.002466995,0.02769201,0.2908041,0.2792309],"study_design_scores_gemma":[0.00008463311,0.0002054222,0.7666286,0.000382509,0.00005349663,0.0002685703,0.02448809,0.001759067,0.0005378416,0.000679365,0.2048102,0.0001021947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7641899,0.00208341,0.001413643,0.02240482,0.0005525967,0.001195364,0.01342677,0.000408509,0.194325],"genre_scores_gemma":[0.8486254,0.001530059,0.003309475,0.003853855,0.00005395471,0.0004927885,0.003685168,0.00008715638,0.1383623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8934135,"threshold_uncertainty_score":0.7733427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09313915009616651,"score_gpt":0.3779538493209771,"score_spread":0.2848146992248106,"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."}}