{"id":"W6989679573","doi":"","title":"British Columbia’s Health Data Platform: Unleashing the Power of a Data Environment Commons for Health and Health System Improvement","year":2020,"lang":"en","type":"other","venue":"Cronfa (Swansea University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Emperipolesis; Liquation; Diafiltration; Triacetin; Durvalumab","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":[0.002047472,0.0005428814,0.001635633,0.0003631412,0.000860156,0.0003535921,0.004480948,0.0002519335,0.0003497762],"category_scores_gemma":[0.00003173061,0.000744984,0.0001248286,0.0005687739,0.0005839602,0.0005324953,0.004360927,0.0006471716,0.00003357327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173768,"about_ca_system_score_gemma":0.003931029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1652081,"about_ca_topic_score_gemma":0.2673517,"domain_scores_codex":[0.9947011,0.0004157984,0.0008831255,0.002007602,0.0008071185,0.001185187],"domain_scores_gemma":[0.991762,0.0001243216,0.002344176,0.004658812,0.00003293423,0.001077798],"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":[0.00009194396,0.0002001556,0.0002430089,0.003639444,0.0005199185,0.00002820822,0.0006584175,0.000002024254,0.000003072369,0.0007016773,0.9854899,0.008422251],"study_design_scores_gemma":[0.002527028,0.0009912051,0.0002343143,0.001926225,0.0001309188,0.0000307667,0.007702978,0.0003582219,2.151644e-7,0.000004921244,0.9855734,0.0005198533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003926069,0.04233131,0.02920476,0.03422861,0.001501492,0.03795215,0.7446882,0.002297243,0.1074037],"genre_scores_gemma":[0.01702366,0.02041546,0.02410685,0.01082657,0.00120242,0.00006165304,0.1375188,0.007221179,0.7816234],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6742197,"threshold_uncertainty_score":0.9995001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07563566999892754,"score_gpt":0.2720334438651978,"score_spread":0.1963977738662702,"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."}}