{"id":"W4244155799","doi":"10.4095/301358","title":"Marital Status, 2001: Divorced (by census subdivision)","year":2010,"lang":"en","type":"report","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Marital status; Demography; Geography; Genealogy; Sociology; History; Archaeology; Population","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":[0.0006818131,0.001028945,0.0003684312,0.003735101,0.001319611,0.001037401,0.001522674,0.0006444397,0.01348995],"category_scores_gemma":[0.00279992,0.0004988736,0.0004186879,0.006762445,0.0002144254,0.0009243741,0.001033523,0.001492163,0.008566953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002957233,"about_ca_system_score_gemma":0.005188278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5684208,"about_ca_topic_score_gemma":0.6511649,"domain_scores_codex":[0.9993623,0.00004026698,0.00009040823,0.00006200637,0.0002844098,0.000160611],"domain_scores_gemma":[0.9972824,0.0001008286,0.0004199083,0.00007332769,0.001756755,0.0003667866],"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":[0.0001814099,0.0001973931,0.102568,0.0006068111,0.00004755178,0.0001157501,0.0006279979,0.000423433,0.0002512234,0.0006260712,0.8753774,0.01897708],"study_design_scores_gemma":[0.00009292464,0.00006668683,0.831752,0.0004456074,0.00003316162,0.0001420237,0.001436955,0.0003266415,0.0002713695,0.0001266951,0.1652794,0.0000265182],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02095927,0.0009229488,0.0001474919,0.0004757117,0.0002272182,0.0003978987,0.9615844,0.0001161036,0.01516881],"genre_scores_gemma":[0.05332939,0.003560086,0.0007269098,0.0005563103,0.0001122225,0.0009033916,0.9070172,0.00006419457,0.03373027],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4315792,"threshold_uncertainty_score":0.8682417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03524524165124775,"score_gpt":0.3436807155717484,"score_spread":0.3084354739205006,"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."}}