{"id":"W2031866730","doi":"10.1016/s1098-3015(10)62952-x","title":"PDB19 COLLECTION OF COST DATA FOR DIABETES COMPLICATIONS IN CANADA AND AUSTRALIA","year":2005,"lang":"en","type":"article","venue":"Value in Health","topic":"Diabetes Management and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data collection; Medicine; Diabetes mellitus; Optometry; Statistics; Mathematics; Endocrinology","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":[0.001815812,0.0005731816,0.001074258,0.008182695,0.002076017,0.002376091,0.001378034,0.0004161593,0.00306834],"category_scores_gemma":[0.01334624,0.0006492906,0.0007528817,0.02215259,0.0003874883,0.000550671,0.001258232,0.0009150277,0.0007520739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04318121,"about_ca_system_score_gemma":0.07804581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947158,"about_ca_topic_score_gemma":0.9936347,"domain_scores_codex":[0.996115,0.0002901632,0.0004747297,0.0002649073,0.002234752,0.0006204558],"domain_scores_gemma":[0.9781172,0.0009452227,0.002288115,0.0005363533,0.01564508,0.002467895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006012226,0.0001882573,0.8579528,0.0005441452,0.000389269,0.0003021823,0.0006857497,0.00216983,0.0003771983,0.001201288,0.09283204,0.04275599],"study_design_scores_gemma":[0.000028656,0.00003273348,0.9742572,0.000113808,0.00005914997,0.00009901865,0.000416621,0.001036573,0.0002013718,0.00006299948,0.02366773,0.00002418131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4404591,0.003220689,0.0009957971,0.002021861,0.0001572317,0.0006673336,0.5230592,0.0002615119,0.02915737],"genre_scores_gemma":[0.6819007,0.003124088,0.004157168,0.0009463114,0.00007331013,0.0004964073,0.2931274,0.0001581795,0.01601638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04318121,"threshold_uncertainty_score":0.3133031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1477226367593595,"score_gpt":0.3702852720350237,"score_spread":0.2225626352756642,"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."}}