{"id":"W4224246511","doi":"10.51731/cjht.2022.311","title":"Colchicine (Myinfla)","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Antithrombotic; Medicine; Drug; Drug class; Colchicine; Intensive care medicine; Family medicine; Pharmacology; Internal medicine; Political science; Health care","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":[0.0003155566,0.000382937,0.0002993562,0.000914944,0.000283641,0.0005836413,0.0003939832,0.0007029002,0.01846032],"category_scores_gemma":[0.000537175,0.00008697342,0.0004089926,0.0004549909,0.0003206469,0.0003720708,0.0003018245,0.0008101294,0.003260484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028061,"about_ca_system_score_gemma":0.001094325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0132032,"about_ca_topic_score_gemma":0.04546603,"domain_scores_codex":[0.9997748,0.00004683454,0.00002230862,0.00004246975,0.00008563537,0.00002793364],"domain_scores_gemma":[0.9997447,0.00005737306,0.00007242757,0.00000781531,0.0000710418,0.00004661462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000829524,0.0001224919,0.0004691951,0.007256219,0.0001276313,0.0003281565,0.00004709639,0.0001252885,0.01243098,0.002371634,0.1098762,0.8660156],"study_design_scores_gemma":[0.0004653064,0.001716087,0.006949243,0.003423107,0.0002049907,0.002262387,0.00008004557,0.000151241,0.01009478,0.000464879,0.9741469,0.00004095313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01002367,0.9032662,0.001111424,0.006141055,0.001988154,0.0001967602,0.001760795,0.0002778069,0.07523417],"genre_scores_gemma":[0.1551367,0.7335086,0.00489743,0.01399046,0.001675476,0.0002281298,0.003561078,0.00006977972,0.08693239],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01846032,"threshold_uncertainty_score":0.06175596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140285019295428,"score_gpt":0.2642272402513041,"score_spread":0.2428243900583498,"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."}}