{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002325704,0.000351876,0.0006780909,0.002203118,0.001198314,0.0002676148,0.00118358,0.0004238643,0.0002674717],"category_scores_gemma":[0.001251361,0.0003896238,0.0002022231,0.001130273,0.0008818753,0.0004531727,0.0002344102,0.001028588,0.00007252124],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004766194,"about_ca_system_score_gemma":0.01382526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7692178,"about_ca_topic_score_gemma":0.3141107,"domain_scores_codex":[0.9948446,0.0004606914,0.0008421408,0.0005063804,0.002208043,0.001138126],"domain_scores_gemma":[0.995409,0.0001605931,0.001115502,0.001850888,0.0007704463,0.0006935695],"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":[0.00009905857,0.00002926119,0.0006593043,0.002346111,0.0001686659,0.00003771385,0.0004253994,0.000009871467,0.0000453152,0.003453666,0.9923822,0.0003433809],"study_design_scores_gemma":[0.0003370636,0.0003233313,0.0000907345,0.0004819005,0.00001500038,0.00009611713,0.0007911588,0.00000785824,0.0002973284,0.00006112453,0.9972076,0.0002907835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006168018,0.003612783,0.0000386211,0.001529771,0.003652361,0.002933469,0.004887156,0.0004359265,0.9828482],"genre_scores_gemma":[0.001693735,0.000190114,0.002035293,0.00004235137,0.002117817,0.0009256986,0.003594661,0.0007611233,0.9886392],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4551072,"threshold_uncertainty_score":0.9998556,"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."}}