{"id":"W3011425913","doi":"10.1108/pijpsm-06-2019-0095","title":"The “power few” of missing persons’ cases","year":2020,"lang":"en","type":"article","venue":"Policing An International Journal","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Missing data; Demography; Test (biology); Psychology; Statistics; Mathematics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.09333307,0.0005417154,0.00102201,0.005220606,0.002016552,0.003563686,0.003724953,0.001714312,0.003815752],"category_scores_gemma":[0.4251328,0.0007789225,0.001048316,0.003331261,0.01206333,0.008488453,0.006587001,0.002719134,0.0003877889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112876,"about_ca_system_score_gemma":0.001267846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908668,"about_ca_topic_score_gemma":0.001320183,"domain_scores_codex":[0.8643893,0.09031389,0.009238035,0.01564929,0.01763561,0.002773858],"domain_scores_gemma":[0.3753789,0.5132008,0.06400292,0.03248019,0.01181939,0.003117744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006948546,0.0001374014,0.9065117,0.0005162089,0.0002689496,0.0009033908,0.006246623,0.001881841,0.0002924294,0.02508616,0.002438428,0.05502186],"study_design_scores_gemma":[0.0003245429,0.003186497,0.6394102,0.002731781,0.0007326561,0.01587981,0.04364145,0.04743981,0.004153018,0.2146844,0.02751008,0.0003056792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7984778,0.002130885,0.1712493,0.00803093,0.000580073,0.000839648,0.001263115,0.0001686416,0.01725969],"genre_scores_gemma":[0.9926764,0.0001395414,0.005744651,0.0006165312,0.0001773976,0.0002095736,0.0001892256,0.00002045534,0.0002262795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09333307,"threshold_uncertainty_score":0.4935983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1251646823053911,"score_gpt":0.4821192122530009,"score_spread":0.3569545299476098,"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."}}