{"id":"W2800579307","doi":"10.25336/csp29376","title":"The well-being of families in Canada’s future","year":2018,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Institution; Population; Ethnology; Humanities; Immigration; Sociology; Welfare economics; Demography; Economics; Art; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002815898,0.000053199,0.0001023967,0.00009070887,0.0004120002,0.000008536008,0.0001305256,0.00003511735,0.00001063687],"category_scores_gemma":[0.0003148201,0.00004865725,0.00001270785,0.00038563,0.000237812,0.00006613084,0.000009674544,0.00006632368,0.000001731095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002754417,"about_ca_system_score_gemma":0.002141572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999813,"about_ca_topic_score_gemma":0.9999999,"domain_scores_codex":[0.999198,0.00006791059,0.0001790909,0.00009343754,0.0001471445,0.0003144252],"domain_scores_gemma":[0.9996107,0.0000847581,0.00006025333,0.0001006754,0.00005645571,0.00008714923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006966742,0.000001707492,0.6874905,0.00001225841,0.00001436046,0.0000136302,0.0507732,0.00004423791,5.46297e-7,0.1877127,0.05865821,0.01527162],"study_design_scores_gemma":[0.00006001553,0.000003785354,0.619827,0.00003012856,0.000001510952,1.55662e-7,0.02058827,0.00002140137,0.000002622419,0.00257227,0.3568323,0.00006056733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497932,0.001142486,1.346664e-7,0.01230467,0.001114017,0.0001496607,0.00001907392,0.000002692527,0.03547403],"genre_scores_gemma":[0.9977049,0.0005635503,0.00000573111,0.0007439834,0.0004083003,0.000005396278,0.000001259483,0.000003574535,0.0005633339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2981741,"threshold_uncertainty_score":0.7202703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930080253822687,"score_gpt":0.3023257890479764,"score_spread":0.2830249865097495,"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."}}