{"id":"W2980140223","doi":"","title":"Improving Civilian Protection during War through Conflict-Specific Behavioural Regulation of Combatants","year":2019,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; Government of Canada; U.S. Department of Justice","keywords":"Political science; Criminology; Computer security; Law; Law and economics; Political economy; Psychology; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002323741,0.00032995,0.0004779513,0.000475911,0.0001297954,0.00005510925,0.000403425,0.0002417102,0.00009720981],"category_scores_gemma":[0.000008429004,0.0004002064,0.0001987179,0.0006277532,0.00005633974,0.001947175,0.0001281905,0.0004463619,0.0002117517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622638,"about_ca_system_score_gemma":0.00002069331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005478456,"about_ca_topic_score_gemma":0.0007566345,"domain_scores_codex":[0.9980776,0.0001453143,0.0004622944,0.0004860655,0.0004173712,0.0004113411],"domain_scores_gemma":[0.9987453,0.00002483567,0.0002077712,0.0007496827,0.0001553175,0.0001171493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006165227,0.00003061834,0.8246613,0.0004021262,0.0001101898,0.0000285141,0.0009501885,0.002579378,0.1709326,0.0000203636,3.027571e-7,0.0002228424],"study_design_scores_gemma":[0.00118398,0.00007556654,0.9505832,0.0002907186,0.00009158962,0.000031699,0.0005758649,0.00008797427,0.04625733,0.000009764844,0.0003441452,0.0004681457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965962,0.0002458438,0.001586107,0.000008919145,0.0003751431,0.0006237327,0.00003771098,0.0003304756,0.0001959113],"genre_scores_gemma":[0.998038,0.00005100547,0.00004799571,0.000004369392,0.00005130672,0.000001991957,0.00003018792,0.00006642596,0.001708743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.125922,"threshold_uncertainty_score":0.999845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06369615289117166,"score_gpt":0.2485194980045999,"score_spread":0.1848233451134282,"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."}}