{"id":"W2770318442","doi":"10.3390/ijerph14111405","title":"Placement Stability, Cumulative Time in Care, and Permanency: Using Administrative Data from CPS to Track Placement Trajectories","year":2017,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Child Welfare and Adoption","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal","funders":"","keywords":"Foster care; Medicine; Stability (learning theory); Nursing; Computer science","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":[0.002794928,0.0004835321,0.0003959493,0.005544059,0.001039303,0.001458542,0.00152229,0.0004564331,0.001616037],"category_scores_gemma":[0.01046845,0.0004023786,0.0009331573,0.008416316,0.0004437463,0.001032975,0.001400025,0.001067456,0.0004284594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006051232,"about_ca_system_score_gemma":0.006372993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8574011,"about_ca_topic_score_gemma":0.8697578,"domain_scores_codex":[0.9983395,0.0003851151,0.0001689551,0.0003160455,0.0004583806,0.0003318471],"domain_scores_gemma":[0.9914798,0.0008671139,0.004027391,0.0005756943,0.002302048,0.0007479553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003018563,0.00001984987,0.9966852,0.00001476671,0.0000676652,0.00001287823,0.0001766903,0.000168124,0.00001847293,0.00003253002,0.0006987851,0.002074869],"study_design_scores_gemma":[0.000002596177,0.00001648244,0.9986115,0.00001507525,0.00001198594,0.000009305475,0.000303023,0.0005635889,0.00002080978,0.0000116959,0.0004293628,0.000004628134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969441,0.0003580002,0.0009892248,0.0002106573,0.0000181964,0.000141879,0.02761499,0.00003865447,0.001187411],"genre_scores_gemma":[0.9732513,0.0002867553,0.001584811,0.0000407047,0.00001729067,0.0002152504,0.02402755,0.00001497649,0.000561337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8574011,"threshold_uncertainty_score":0.2868773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3105075320411367,"score_gpt":0.4983433832767102,"score_spread":0.1878358512355735,"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."}}