{"id":"W6939230832","doi":"10.6068/dp14baa2bd73776","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Society and Community - Rural Canada | Country: Canada | Province: New Brunswick | Table: Canadian Community Health Survey (CCHS 1.1) urban-rural profile, by sex | Variable: 1 or more two-week disability days, Rural, Both sexes | Units: , 2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-189.","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; Socioeconomic status; Population; Rural area; Population statistics; Social statistics; Demographic statistics; Health 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":[0.002726391,0.002536748,0.002760831,0.008109376,0.004154115,0.005180595,0.005501599,0.001715049,0.1398212],"category_scores_gemma":[0.02457422,0.001987127,0.002096529,0.04803371,0.0007547835,0.002810559,0.002452823,0.003443816,0.08249053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06237027,"about_ca_system_score_gemma":0.1630424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952155,"about_ca_topic_score_gemma":0.9926385,"domain_scores_codex":[0.9948553,0.0003459385,0.0005847306,0.0006067319,0.002478465,0.001128944],"domain_scores_gemma":[0.9556513,0.001836694,0.001018958,0.001278398,0.03811542,0.002099285],"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":[0.00001598871,0.000005691894,0.0005721268,0.0001908823,0.00001110648,0.000005036528,0.00001791571,0.00007421106,0.000006572255,0.0002502606,0.9974512,0.001398903],"study_design_scores_gemma":[0.0001618258,0.00001061202,0.01912019,0.0008129532,0.00005417797,0.00002190032,0.0004314473,0.0003119469,0.0001253812,0.0006312039,0.9782336,0.00008470281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003657619,0.00004453447,0.00002074214,0.0001241176,0.00002740919,0.00001688507,0.9985573,0.00005402678,0.00111839],"genre_scores_gemma":[0.000754295,0.0003282455,0.000517316,0.0002359986,0.00002038046,0.0001732995,0.992481,0.0001521671,0.005337385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1398212,"threshold_uncertainty_score":0.4677485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0428310800270061,"score_gpt":0.2780146500988013,"score_spread":0.2351835700717952,"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."}}