{"id":"W4235933532","doi":"10.4095/301376","title":"Marital Status, 2006: Widowed (by census division)","year":2010,"lang":"en","type":"report","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Marital status; Division (mathematics); Psychology; Demography; Geography; Gerontology; Sociology; Medicine; Mathematics; Population; Arithmetic","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":[0.0004155962,0.0005158529,0.0002332993,0.002780779,0.0009079354,0.0008152208,0.000793543,0.0002606202,0.008051561],"category_scores_gemma":[0.00174966,0.0002877215,0.0003650991,0.004838907,0.0001474648,0.0006063288,0.0006522581,0.0006007499,0.003044064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002981923,"about_ca_system_score_gemma":0.004745013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7518508,"about_ca_topic_score_gemma":0.8538103,"domain_scores_codex":[0.9995943,0.00001606207,0.00005756863,0.00003745115,0.0002078457,0.00008682776],"domain_scores_gemma":[0.9987376,0.00002464899,0.00019813,0.00003291898,0.0008428668,0.0001638905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002956062,0.0001755077,0.4499996,0.0008217684,0.00009981902,0.0001315431,0.001003732,0.000590206,0.000628636,0.0009120964,0.4956461,0.04969539],"study_design_scores_gemma":[0.00003239443,0.00003322336,0.9179794,0.0001109827,0.00001899904,0.00009224022,0.0006494358,0.0001847673,0.0002187948,0.00005770721,0.08060902,0.0000129945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07016123,0.00145034,0.000269051,0.0004324004,0.0001996407,0.0004805616,0.9055365,0.0001526257,0.02131758],"genre_scores_gemma":[0.1732977,0.004939445,0.002053916,0.0004277029,0.0001155408,0.0006674302,0.7751584,0.00007492635,0.04326495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7518508,"threshold_uncertainty_score":0.4992211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060053632196953,"score_gpt":0.3337927897199522,"score_spread":0.3131922533979827,"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."}}