{"id":"W2971408879","doi":"10.1007/978-3-030-26403-1_18","title":"CAF Operations: A Comprehensive Approach to Enable Future Operations","year":2019,"lang":"en","type":"book-chapter","venue":"Canada and international affairs","topic":"Military History and Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Bureaucracy; State (computer science); Political science; Power (physics); Business; Process management; Management science; Engineering; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007314781,0.0001810036,0.0002006174,0.00009130842,0.0004764796,0.00007949375,0.0002854296,0.0001566445,0.001338858],"category_scores_gemma":[0.00001936968,0.0001854845,0.0000497759,0.00002933703,0.0001021926,0.0001699355,0.00004198296,0.00021035,0.00003905893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000540109,"about_ca_system_score_gemma":0.002425599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4627441,"about_ca_topic_score_gemma":0.9473419,"domain_scores_codex":[0.9988585,0.00002772474,0.0002077781,0.0003415752,0.0003984424,0.0001660397],"domain_scores_gemma":[0.9992682,0.00002875821,0.00002602815,0.0001485058,0.000330382,0.0001981458],"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":[0.000006967022,0.000008063026,0.000002932043,0.00001082581,0.00005806512,0.000005220785,0.001710196,0.001311833,0.000006081589,0.8876549,0.1088539,0.0003710465],"study_design_scores_gemma":[0.00009106316,0.00001997857,0.00001629591,0.00002457424,0.00001312682,0.000003803245,0.005845297,0.0002101944,7.139994e-7,0.0006448251,0.9929056,0.0002244904],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00020525,0.001164948,0.00005862851,0.002556134,0.001929314,0.0003919547,0.0003147631,0.00001832922,0.9933607],"genre_scores_gemma":[0.03368431,0.0004372497,0.0003590704,0.001164908,0.00120943,0.00002285936,0.0003287739,0.00001789148,0.9627755],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.88701,"threshold_uncertainty_score":0.9995741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372322744211225,"score_gpt":0.2418051815907943,"score_spread":0.218081954148682,"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."}}