{"id":"W6906520106","doi":"10.17616/r31njn8n","title":"Canadian Institute for Health Information Repository","year":2022,"lang":"en","type":"other","venue":"Registry of Research Repositories","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health information; Population health; Population; Health data; Information system; HRHIS; Health informatics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01153504,0.0014304,0.001883038,0.01282756,0.008207061,0.01203962,0.00539003,0.00348045,0.2252763],"category_scores_gemma":[0.05361256,0.001020347,0.001526517,0.02136927,0.002001489,0.004683907,0.005728918,0.003319612,0.1040396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03991869,"about_ca_system_score_gemma":0.2559454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9116529,"about_ca_topic_score_gemma":0.9008098,"domain_scores_codex":[0.9810326,0.001796144,0.001728301,0.001571976,0.01190957,0.001961614],"domain_scores_gemma":[0.895064,0.004836997,0.001651296,0.006593874,0.08385005,0.008003794],"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":[0.00001895551,0.00001033973,0.0003588078,0.0002924214,0.000009680911,0.00002130171,0.00006286708,0.00004274002,0.00004008942,0.01132831,0.9659817,0.02183283],"study_design_scores_gemma":[0.00001012428,0.000003879283,0.001039725,0.0002809443,0.00001196175,0.00001774983,0.00007110982,0.00008322465,0.00004828046,0.001262626,0.9971505,0.00001986442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003579668,0.004802745,0.003784497,0.03532485,0.002675159,0.0009936914,0.2787112,0.004953764,0.6683961],"genre_scores_gemma":[0.01277904,0.01693952,0.03160347,0.01874234,0.0008974109,0.001590883,0.3789683,0.002694908,0.5357841],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9879604,"threshold_uncertainty_score":0.7536243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03953190645984492,"score_gpt":0.3780674426501821,"score_spread":0.3385355361903372,"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."}}