{"id":"W4387414874","doi":"10.1007/978-3-031-44077-9_6","title":"The Events After Police Search and Rescue Response","year":2023,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in criminology","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Search and rescue; Agency (philosophy); Incident response; Unit (ring theory); Computer science; Work (physics); Computer security; Psychology; Engineering; Sociology; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00104438,0.0003394375,0.0002515029,0.001061519,0.005377669,0.007662727,0.0007935662,0.002660207,0.02766182],"category_scores_gemma":[0.004872122,0.0003523397,0.0003054881,0.001276924,0.002594514,0.004020303,0.00249599,0.004521921,0.005541242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003147898,"about_ca_system_score_gemma":0.002472704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948536,"about_ca_topic_score_gemma":0.05052938,"domain_scores_codex":[0.998701,0.0005101023,0.00004476509,0.0001183444,0.0002619421,0.0003638194],"domain_scores_gemma":[0.9988179,0.0004413787,0.0001537917,0.00009691218,0.0002329163,0.0002570594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003134766,0.0001040337,0.004239425,0.0001475988,0.00002471917,0.001706485,0.03875433,0.0005678312,0.0005335064,0.5196745,0.3360629,0.09787121],"study_design_scores_gemma":[0.000007876255,0.00004365042,0.01689892,0.0002713276,0.000008760609,0.000263309,0.03764427,0.0001745481,0.0003920241,0.02895338,0.9153122,0.00002975757],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05047284,0.006456497,0.003101382,0.0430434,0.006445736,0.00008370393,0.000874332,0.0001299807,0.8893921],"genre_scores_gemma":[0.5866642,0.004073303,0.0007693436,0.004713987,0.001800507,0.00007102421,0.0006897568,0.0002399164,0.4009781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02766182,"threshold_uncertainty_score":0.09253806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0867100057288453,"score_gpt":0.3493963044581373,"score_spread":0.262686298729292,"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."}}