{"id":"W7099737520","doi":"","title":"Article Component of Statistics Canada Catalogue no. 82-003-X Health Reports Health status, preventive","year":2009,"lang":"en","type":"article","venue":"","topic":"Education, Law, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Component (thermodynamics); Health statistics; Public health; Health data; MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00112273,0.00008744282,0.0002398288,0.00001566811,0.000530979,0.00002259271,0.00009015996,0.00003410852,0.0001587614],"category_scores_gemma":[0.000153518,0.00008703488,0.00003121874,0.0002122582,0.0001445913,0.0000927872,0.00001101162,0.00006730871,0.000001555437],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008321746,"about_ca_system_score_gemma":0.0100885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.96771,"about_ca_topic_score_gemma":0.9839302,"domain_scores_codex":[0.9979636,0.0002811447,0.0005175706,0.0002066482,0.0005139933,0.0005170649],"domain_scores_gemma":[0.99863,0.0001138672,0.000375947,0.0002118465,0.0002462857,0.0004219813],"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":[0.00000452014,0.0003767027,0.02861373,0.00004836252,0.0000222039,0.000003153692,0.05993637,0.00001636288,0.00001048588,0.06202098,0.8458198,0.003127359],"study_design_scores_gemma":[0.0004490489,0.0004454758,0.3923502,0.00008212451,0.00001554092,0.000002797833,0.09129141,0.00006458184,0.0001477868,0.007405413,0.5073147,0.0004308945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8328047,0.002421657,0.009512283,0.09719829,0.006405045,0.003852973,0.002192641,0.0003072756,0.04530508],"genre_scores_gemma":[0.987174,0.0005346859,0.005762802,0.003292467,0.000136294,0.000004191666,0.000296701,0.000006397916,0.002792437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3637365,"threshold_uncertainty_score":0.9955234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665596361297328,"score_gpt":0.3307868900047911,"score_spread":0.3141309263918178,"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."}}