{"id":"W6920527252","doi":"10.6068/dp14ba87ffac361","title":"Trend 2000 - 2003. Statistics Canada. CANSIM: Aboriginal People | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1 and 2.1) off-reserve Aboriginal profile | Variable: Pain or discomfort, prevents a few or some activities, Both sexes, Non-Aboriginal | 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; Economic statistics; Population statistics; Health statistics; Summary statistics; Social 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":[0.002595645,0.002229017,0.002767389,0.007592876,0.003527233,0.004780675,0.005621444,0.001550573,0.115968],"category_scores_gemma":[0.02085389,0.001853899,0.00218091,0.03934867,0.0006806001,0.002490937,0.002393634,0.003090923,0.06822805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04743399,"about_ca_system_score_gemma":0.1289436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939639,"about_ca_topic_score_gemma":0.9913772,"domain_scores_codex":[0.9962036,0.0003149765,0.0004782775,0.0005122605,0.001687105,0.0008039437],"domain_scores_gemma":[0.9709153,0.00129209,0.0008919679,0.001202751,0.02421039,0.001487551],"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":[0.00002014053,0.000004663599,0.0006385826,0.0002327362,0.00001779706,0.000005381362,0.00002398282,0.00007948737,0.00000698951,0.0003221075,0.9970589,0.001589274],"study_design_scores_gemma":[0.000167252,0.00001062137,0.01689107,0.0009732154,0.00007002981,0.00002662523,0.0004704208,0.0004169264,0.0001271481,0.0008310142,0.9799272,0.00008848901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003817018,0.00004329631,0.0000303459,0.0001224229,0.00003272206,0.00001955008,0.9986393,0.00007492069,0.0009992516],"genre_scores_gemma":[0.0007482077,0.0002862671,0.0005825756,0.0001969881,0.00002000224,0.0002070014,0.9934028,0.0001685287,0.004387694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.115968,"threshold_uncertainty_score":0.3879517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655331703820148,"score_gpt":0.2908290194055894,"score_spread":0.2642757023673879,"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."}}