{"id":"W4409753211","doi":"10.24908/cmj.v24i3.19284","title":"RCAF","year":2024,"lang":"en","type":"article","venue":"Canadian Military Journal","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000586033,0.0001411767,0.0001152577,0.0008239393,0.0002798333,0.000106931,0.000269146,0.00006721165,0.006629868],"category_scores_gemma":[0.00008018621,0.0001336166,0.0001406248,0.0004619088,0.00007598669,0.0003878835,0.00000981338,0.0006612528,0.01941392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329777,"about_ca_system_score_gemma":0.002779674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07580201,"about_ca_topic_score_gemma":0.5253577,"domain_scores_codex":[0.9986231,0.00007793,0.0002288872,0.0001967563,0.0002244916,0.0006488183],"domain_scores_gemma":[0.9978596,0.00003525374,0.000009421385,0.0001946292,0.00006853363,0.001832573],"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":[0.000005863332,0.000004091278,0.0009679256,0.00001493093,0.00008808068,0.007003668,0.0006839418,0.00009895646,0.0006354993,0.001218527,0.9772158,0.01206272],"study_design_scores_gemma":[0.000110157,0.00003718367,0.005241943,0.0001030475,0.00002894648,0.00564223,0.0002699414,0.001244321,0.00002815757,0.003475374,0.9836184,0.0002003449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7275355,0.1631743,0.00008744596,0.01040854,0.006403218,0.0002269592,0.0008102905,0.0003373659,0.09101637],"genre_scores_gemma":[0.993997,0.0001225516,0.0004123057,0.0008763837,0.001278717,0.000002310447,0.00001401047,0.00009728428,0.003199396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4495557,"threshold_uncertainty_score":0.9942782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009514998807173004,"score_gpt":0.2282541802808063,"score_spread":0.2187391814736333,"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."}}