{"id":"W6901568940","doi":"10.6068/dp14baa2af9d490","title":"Trend 2000 - 2003. Statistics Canada. CANSIM: Aboriginal People | Country: Canada | Province: Ontario | Table: Canadian Community Health Survey (CCHS 1.1 and 2.1) off-reserve Aboriginal profile | Variable: 1 or more two-week disability days, Both sexes, Aboriginal status | Units: , 2000-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-001.","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; Population statistics; Economic statistics; Social statistics; American Community Survey; 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":[0.002564924,0.002182276,0.002789814,0.007530092,0.003390328,0.004616791,0.0052441,0.001492947,0.1102401],"category_scores_gemma":[0.02001486,0.001943007,0.002099148,0.03968305,0.0006763728,0.002548727,0.002309565,0.002793169,0.06704817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05074656,"about_ca_system_score_gemma":0.1302983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937656,"about_ca_topic_score_gemma":0.9912196,"domain_scores_codex":[0.9961106,0.0002982508,0.0005132789,0.0005236266,0.001736697,0.0008175122],"domain_scores_gemma":[0.9706225,0.001228719,0.000999595,0.001204623,0.02442711,0.001517481],"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":[0.00002276697,0.000004467547,0.0007025075,0.0002485593,0.00001845527,0.000005851968,0.00002660998,0.0000797643,0.00000846901,0.0003067667,0.9969913,0.001584518],"study_design_scores_gemma":[0.0001630092,0.00001007711,0.01767665,0.0008735923,0.00006597306,0.0000256299,0.0004091082,0.0003706203,0.0001280695,0.0007093814,0.9794896,0.00007823624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003987331,0.00004363639,0.00002895235,0.0001196142,0.00003121394,0.00001849104,0.9986215,0.00007518683,0.001021644],"genre_scores_gemma":[0.0007659752,0.0002810987,0.0005464958,0.0001825116,0.00002034553,0.0001998552,0.9931467,0.0001792182,0.004677758],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1102401,"threshold_uncertainty_score":0.3687899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02832048976909702,"score_gpt":0.2912434173755329,"score_spread":0.2629229276064359,"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."}}