{"id":"W6939079869","doi":"10.6068/dp14ba827b9d314","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, by family type and sources of income | Variable: Number in family type, Couple families, Workers' Compensation | Units: , 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-098.","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; Economic statistics; Socioeconomic status; Population; Demographic statistics; Official statistics; Summary statistics; Social statistics; Population statistics","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":[0.00205613,0.002352361,0.002700889,0.008269244,0.003584026,0.004756931,0.005788613,0.00136964,0.08169483],"category_scores_gemma":[0.01602861,0.001738116,0.002312707,0.03745212,0.000581036,0.002281502,0.002509824,0.002972793,0.03910606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0579761,"about_ca_system_score_gemma":0.1217942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958498,"about_ca_topic_score_gemma":0.994616,"domain_scores_codex":[0.9961615,0.0002763749,0.0004340862,0.000485244,0.001693955,0.0009489193],"domain_scores_gemma":[0.9712416,0.001042635,0.0009745816,0.0008381128,0.02433372,0.001569457],"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":[0.00002701094,0.00000819554,0.001778443,0.0003107456,0.0000289314,0.000009398304,0.00004083274,0.0001344547,0.000009629118,0.0005031713,0.9949387,0.00221043],"study_design_scores_gemma":[0.0001650509,0.00001482158,0.04206327,0.00112021,0.00008703064,0.00003859126,0.000823031,0.0005980368,0.0001792157,0.0008264091,0.9539779,0.0001063443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008195573,0.00005890633,0.00003035062,0.0001179174,0.00002216648,0.00001820275,0.9987411,0.00005455119,0.0008748946],"genre_scores_gemma":[0.001251363,0.0003700745,0.0005015278,0.0001581666,0.00001687092,0.0001732211,0.9931176,0.0001068925,0.00430435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08169483,"threshold_uncertainty_score":0.420648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291154522001913,"score_gpt":0.2330383384921831,"score_spread":0.2101267932721639,"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."}}