{"id":"W7008393141","doi":"","title":"Canadian Officer Training Corps students at Windsor Street Campus","year":2010,"lang":"en","type":"other","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Officer; Windsor; Training (meteorology); Government (linguistics); Trainer","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000770795,0.0008718789,0.0004481878,0.002340915,0.0178469,0.00408447,0.001845223,0.002094159,0.6109158],"category_scores_gemma":[0.002522768,0.0007208978,0.0004778283,0.001961736,0.001037993,0.001267166,0.002406286,0.002386299,0.245786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01610937,"about_ca_system_score_gemma":0.06221089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9027017,"about_ca_topic_score_gemma":0.9863377,"domain_scores_codex":[0.9985207,0.00004263601,0.00002003034,0.00008247372,0.000635439,0.0006988285],"domain_scores_gemma":[0.9951066,0.00009465788,0.00005906999,0.0001500788,0.002420224,0.002169443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001204686,0.00004135579,0.0006764043,0.00001657789,9.342542e-7,0.00003271762,0.0001622963,0.00002134738,0.00004564731,0.001789792,0.9830347,0.01416622],"study_design_scores_gemma":[0.00000772254,0.00001039478,0.004423337,0.00005684399,0.000002306493,0.00002305133,0.001086708,0.00005293816,0.0001336753,0.0001893004,0.9940041,0.000009639229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002859241,0.0001726094,0.00009477836,0.002757792,0.0003534272,0.0001803746,0.004425848,0.0002923048,0.9888636],"genre_scores_gemma":[0.002429733,0.00008556384,0.00006285906,0.0001961191,0.00001494013,0.00001406025,0.0004685365,0.00006003604,0.9966682],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6109158,"threshold_uncertainty_score":0.5549814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009495203703830378,"score_gpt":0.1957651288109394,"score_spread":0.186269925107109,"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."}}