{"id":"W2582609214","doi":"","title":"Examining Child Welfare Outcomes for Asian-Canadian Children and Families: A Mixed Methods Study","year":2016,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Research in Social Sciences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Welfare; Developmental psychology; Psychology; Multimethodology; Medicine; Political science; Mathematics education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002001904,0.0002118057,0.000500755,0.0001496437,0.003113855,0.00007789489,0.0008947261,0.0003181195,0.003777369],"category_scores_gemma":[0.0006313473,0.0002187737,0.000139273,0.0001532548,0.0004617835,0.0006250903,0.00007466588,0.0001450892,0.000004089998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006393074,"about_ca_system_score_gemma":0.0005178882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9585832,"about_ca_topic_score_gemma":0.9946314,"domain_scores_codex":[0.9975371,0.0006182117,0.0001282605,0.00051462,0.000621961,0.0005798704],"domain_scores_gemma":[0.9985339,0.0002897808,0.0002531217,0.0002422784,0.0002312518,0.0004496588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004653757,0.00005632396,0.03065586,0.00002839662,0.0002431152,0.000003258885,0.3100858,5.833976e-8,0.000007932053,0.002284172,0.0004012116,0.6561874],"study_design_scores_gemma":[0.0002742494,0.0001006684,0.5432177,0.00002899799,0.00004822789,5.896727e-8,0.4516386,5.305254e-7,0.000001239329,0.00002994334,0.004510993,0.0001487744],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3578566,0.0005949954,0.00008031158,0.004674741,0.0007463858,0.002364585,0.0001468995,0.0000708264,0.6334646],"genre_scores_gemma":[0.9787803,0.0006206899,0.003098453,0.000008703249,0.00009773101,0.000004661525,0.00003890199,0.00001855495,0.01733202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6560386,"threshold_uncertainty_score":0.998184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03696508493665816,"score_gpt":0.3826846998851537,"score_spread":0.3457196149484956,"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."}}