{"id":"W2417592860","doi":"10.82308/51578","title":"Sweet blood and power : making diabetics count","year":2001,"lang":"en","type":"book","venue":"eScholarship@McGill (McGill)","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Complete blood count; Medicine; Internal medicine","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.004049782,0.001202475,0.001685622,0.0005665596,0.006665777,0.00008903165,0.0008494668,0.003264645,0.005724037],"category_scores_gemma":[0.001607427,0.001264066,0.0002870912,0.0003369058,0.0002631866,0.001101681,0.001088477,0.009294312,0.004680121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543745,"about_ca_system_score_gemma":0.0006637923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002110112,"about_ca_topic_score_gemma":0.001602707,"domain_scores_codex":[0.9910302,0.001779217,0.002056349,0.00162571,0.001297057,0.002211513],"domain_scores_gemma":[0.9914117,0.003462836,0.002088834,0.001418136,0.0007310951,0.0008874093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007645638,0.00155266,0.004320811,0.01935826,0.001954379,0.001975547,0.0003165642,0.000007209851,0.0006415959,0.9072837,0.009854589,0.05197018],"study_design_scores_gemma":[0.001625004,0.0003251053,0.001180856,0.004081838,0.0006840654,0.00005527781,0.0002517388,0.000003005545,0.00003060005,0.04186916,0.9486747,0.0012186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07408931,0.002351798,2.611605e-7,0.0003193298,0.002571359,0.002212929,0.002082055,0.0005210086,0.915852],"genre_scores_gemma":[0.110966,0.008947111,0.001028911,0.01171368,0.0007189952,0.0003014381,0.0002885959,0.0006151989,0.8654201],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9388202,"threshold_uncertainty_score":0.9989809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04672035261885962,"score_gpt":0.3522878900765627,"score_spread":0.3055675374577032,"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."}}