{"id":"W6977515618","doi":"10.7939/r39k45s3v","title":"The Canadian Health Measures Survey","year":2004,"lang":"en","type":"other","venue":"University of Alberta Library","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public health; MEDLINE; Government (linguistics); Measure (data warehouse); Data collection","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":[0.00004358627,0.0001119635,0.0001584288,0.0001574025,0.0001431258,0.000007622629,0.0003902296,0.0002492134,0.0007410898],"category_scores_gemma":[0.000005294512,0.0001090464,0.00003951975,0.0001065496,0.0001686262,0.00006656793,0.00002239329,0.0001975973,0.00004529289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004331493,"about_ca_system_score_gemma":0.0005141547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8334325,"about_ca_topic_score_gemma":0.9932371,"domain_scores_codex":[0.9995719,0.00003566943,0.00005703163,0.00009434317,0.00005429747,0.0001867433],"domain_scores_gemma":[0.9995812,0.00005414039,0.00002668926,0.0002477831,0.000003663975,0.00008650256],"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":[0.000003478493,0.000002413311,0.0008032171,0.0000370314,0.00009705555,0.000006014636,0.0002727667,0.00009227254,3.040018e-8,0.01442239,0.9837847,0.0004785691],"study_design_scores_gemma":[0.00009030444,0.00001545678,0.004219386,0.00007001232,0.000004769323,9.949258e-7,0.0001562957,0.00001079618,0.00000132528,0.0008003497,0.9945065,0.000123756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007918162,0.005690496,0.00001066637,0.0007537053,0.0001384497,0.00009820123,0.00007124199,0.0002098754,0.9929482],"genre_scores_gemma":[0.03142467,0.006501008,0.0002701683,0.0000633688,0.00003143536,9.892737e-8,0.0003032281,0.0001781587,0.9612279],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1598046,"threshold_uncertainty_score":0.8114413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008661598854904076,"score_gpt":0.159097414517093,"score_spread":0.1504358156621889,"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."}}