{"id":"W1873249439","doi":"10.25336/p66p61","title":"Selecting Social Indicators to Forecast Child Welfare Caseload","year":2008,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Children, Community and Social Services","funders":"","keywords":"Predictability; Welfare; Regression analysis; Social Welfare; Census; Unit (ring theory); Psychology; Demography; Environmental health; Statistics; Economics; Population; Medicine; Sociology; Political science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003561961,0.000553698,0.0005627941,0.004028795,0.0004177516,0.001124873,0.0005756763,0.0004190898,0.0007958334],"category_scores_gemma":[0.02307756,0.0002956988,0.000581951,0.002928661,0.0003093545,0.0007242431,0.0007176938,0.0006905671,0.0002189818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002352421,"about_ca_system_score_gemma":0.004341316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2686492,"about_ca_topic_score_gemma":0.263364,"domain_scores_codex":[0.9989039,0.0004239193,0.00008626861,0.0001236334,0.0002620496,0.0002002399],"domain_scores_gemma":[0.9926993,0.003559428,0.001689878,0.0002031629,0.001423026,0.0004252006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003739988,0.00002155432,0.9873689,0.00001474334,0.00003770939,0.00001543684,0.00007903968,0.006720385,0.00004100982,0.0001732407,0.0004011968,0.005089191],"study_design_scores_gemma":[0.0000109815,0.00005830206,0.9071139,0.00004430956,0.00004593983,0.00002193443,0.0005462968,0.0905524,0.0001933447,0.0006289877,0.0007612015,0.00002249192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853129,0.0003849409,0.009916897,0.0004847151,0.00001880667,0.00008082391,0.002174123,0.0001136294,0.001513247],"genre_scores_gemma":[0.993988,0.0001983191,0.003123272,0.0000174836,0.00001410198,0.00003469615,0.002448281,0.000009714673,0.0001661809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7313508,"threshold_uncertainty_score":0.5341709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1182372482003829,"score_gpt":0.4404649899433211,"score_spread":0.3222277417429382,"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."}}