{"id":"W6978164313","doi":"10.7916/d8pk0p1t","title":"Profiles_Canada_IFDI_Profile_-_August_23_FINAL.pdf","year":2017,"lang":"ca","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Historical Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001889275,0.0007028386,0.000862256,0.003008022,0.00639136,0.01116017,0.002119711,0.003605795,0.752986],"category_scores_gemma":[0.007977531,0.0006884197,0.0006778215,0.005461165,0.001292782,0.002435577,0.002107512,0.00319891,0.6146315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01907094,"about_ca_system_score_gemma":0.04498363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7427575,"about_ca_topic_score_gemma":0.8421249,"domain_scores_codex":[0.9974463,0.00006805592,0.00004617881,0.000114341,0.001617145,0.0007081122],"domain_scores_gemma":[0.9881358,0.0004917616,0.00009813635,0.000507556,0.008644624,0.002122177],"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":[0.000005090552,0.000004713072,0.00005164706,0.00001481338,3.448895e-7,0.000005954439,0.00001461838,0.000006958497,0.00001305355,0.0007212627,0.9957124,0.003449144],"study_design_scores_gemma":[0.000004627935,0.000001806615,0.0004198682,0.00004159342,8.327729e-7,0.000007797328,0.00006579226,0.00001332943,0.00006462188,0.0001689484,0.9992029,0.000007980942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003180148,0.0005334936,0.0002229255,0.005898668,0.001827859,0.0002006933,0.04697289,0.001344447,0.942681],"genre_scores_gemma":[0.001374527,0.0005131491,0.0002416815,0.00194844,0.0001730776,0.00006742847,0.008681347,0.0005352549,0.986465],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.752986,"threshold_uncertainty_score":0.5175149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03799603148260691,"score_gpt":0.2855955956361801,"score_spread":0.2475995641535732,"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."}}