{"id":"W6982046395","doi":"","title":". Geographical variation and temporal trend of myocardial infarction hospital admissions in Calgary","year":2017,"lang":"en","type":"article","venue":"Florence Research (University of Florence)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Myocardial infarction; Incidence (geometry); Socioeconomic status; Etiology; Trend analysis; Disease; Coronary heart disease","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":[0.0006291962,0.0001862336,0.000241234,0.002272372,0.000494405,0.0009035859,0.0009840187,0.0004211389,0.001864222],"category_scores_gemma":[0.002675969,0.0002095416,0.0003735947,0.004420195,0.0004476597,0.0003038569,0.0008610939,0.0004645401,0.0003754928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002791298,"about_ca_system_score_gemma":0.001388644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5843268,"about_ca_topic_score_gemma":0.498971,"domain_scores_codex":[0.9994255,0.0000929562,0.00006699823,0.000156514,0.0001246914,0.0001333132],"domain_scores_gemma":[0.998442,0.0002547374,0.000685802,0.0001075766,0.0002908033,0.0002190598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004022087,0.00001189961,0.9956358,0.00001289593,0.000051154,0.00009220752,0.0002599041,0.0002600605,0.000072094,0.00005323356,0.0004741876,0.003036362],"study_design_scores_gemma":[0.000001331838,0.000006839968,0.9992806,0.000006710179,0.000006707748,0.00002289443,0.0003202705,0.000214182,0.000007910143,0.000008790787,0.000121892,0.000001830599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944964,0.0006769775,0.00008627101,0.0002620293,0.00001257388,0.00001114402,0.002650377,0.00001697923,0.00178716],"genre_scores_gemma":[0.9973512,0.0003752049,0.0001117856,0.00004136892,0.00001103398,0.00000866723,0.001754669,0.000004034109,0.0003419477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4156732,"threshold_uncertainty_score":0.8362423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04050202962739297,"score_gpt":0.3139193772990791,"score_spread":0.2734173476716861,"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."}}