{"id":"W7014592283","doi":"","title":"[Poster Presentation] Absence may (not) make the heart grow fonder: Investigating marital non-cohabitation and divorce in Canada’s immigrant population","year":2019,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Prosperity; Population; Marital status; Ethnic group","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001607065,0.0002674683,0.0003642296,0.001061294,0.005785272,0.002316111,0.001154982,0.000851536,0.01958523],"category_scores_gemma":[0.005523834,0.0002006955,0.000377589,0.002023745,0.001005835,0.0005140976,0.001460085,0.001093903,0.001510614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007447185,"about_ca_system_score_gemma":0.01617868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9275198,"about_ca_topic_score_gemma":0.9567145,"domain_scores_codex":[0.9993758,0.00009285597,0.00002421547,0.00005826538,0.0002301362,0.0002187655],"domain_scores_gemma":[0.9981901,0.0001900516,0.000181769,0.00006928339,0.0007013853,0.0006673484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005171287,0.0002864967,0.8271891,0.0003027737,0.0001001766,0.000658319,0.02689757,0.0000831271,0.0005864594,0.001322861,0.07660907,0.06544697],"study_design_scores_gemma":[0.00002563192,0.00007409835,0.9527176,0.0002092241,0.00004811562,0.0001738049,0.03604503,0.00006440134,0.000114786,0.000260671,0.0102461,0.0000205063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9269941,0.003936913,0.0003534927,0.01300268,0.000734809,0.0004536933,0.007622176,0.00002305038,0.04687906],"genre_scores_gemma":[0.9569635,0.003219076,0.0004102655,0.003273357,0.0002536671,0.0002222771,0.002158335,0.00004074,0.03345883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0724802,"threshold_uncertainty_score":0.1458141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329315509488347,"score_gpt":0.2480945250009101,"score_spread":0.2348013699060266,"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."}}