{"id":"W6957950150","doi":"10.6068/dp14baa2ebf0563","title":"Trend 1970 - 2003. Statistics Canada. CANSIM: Families, Households and Housing - Divorce and Separation | Country: Canada | Province: Alberta | Table: Vital statistics, divorces | Variable: Divorces | Units: #, 1970-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-096.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Economic statistics; Spouse; Summary statistics; Population; Population statistics; Socioeconomic status; Taxable income","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":[0.002369875,0.002521423,0.002964603,0.009375081,0.003748584,0.004996921,0.005961962,0.001493323,0.09980115],"category_scores_gemma":[0.01663044,0.002021118,0.002273834,0.04291993,0.0006513331,0.002358818,0.002456659,0.003229307,0.05453473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06579064,"about_ca_system_score_gemma":0.1528051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967574,"about_ca_topic_score_gemma":0.9953378,"domain_scores_codex":[0.995676,0.0002760051,0.0004401318,0.0005463981,0.002032055,0.001029512],"domain_scores_gemma":[0.9663199,0.001167274,0.001008062,0.0009967948,0.0285867,0.001921275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002810919,0.000007554736,0.001322878,0.0002715871,0.00002471105,0.000007878852,0.00003325454,0.0001224427,0.0000104576,0.000424509,0.9955117,0.002235044],"study_design_scores_gemma":[0.0002077451,0.00001683049,0.03993533,0.0009974007,0.00009514067,0.0000366249,0.000682444,0.0005458955,0.0001856826,0.0008154845,0.9563701,0.0001113898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007203023,0.00006849336,0.00003298775,0.0001302145,0.00003361337,0.0000203269,0.9983829,0.00008005455,0.0011794],"genre_scores_gemma":[0.001157402,0.0004060186,0.0005195385,0.0001821723,0.00002194449,0.000153716,0.9915218,0.0001601206,0.005877301],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09980115,"threshold_uncertainty_score":0.4773467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036151768126256,"score_gpt":0.2436298634366123,"score_spread":0.2232683457553497,"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."}}