{"id":"W3208430139","doi":"10.5281/zenodo.2554528","title":"SPOR (Strategy for Patient-Oriented Research) National Data Platform","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institutes of Health Research","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1141098,0.001082608,0.001079615,0.002964304,0.003302564,0.01275951,0.00439953,0.01232252,0.2370861],"category_scores_gemma":[0.1081209,0.001117969,0.001519261,0.003386143,0.003027248,0.009142451,0.01945773,0.01383104,0.1964469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006156956,"about_ca_system_score_gemma":0.04534959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005404511,"about_ca_topic_score_gemma":0.005248442,"domain_scores_codex":[0.9643132,0.01478178,0.00178449,0.001895692,0.01425725,0.002967591],"domain_scores_gemma":[0.8984811,0.02856506,0.00313821,0.01386762,0.02887368,0.02707429],"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":[0.00005442493,0.00003837406,0.0001443651,0.0001173814,0.000007245868,0.00003855766,0.0001672302,0.00005605583,0.0001628033,0.0536283,0.9181883,0.02739688],"study_design_scores_gemma":[0.00004034306,0.00002643225,0.0003083833,0.0002182404,0.000004499243,0.00003502492,0.0002059574,0.0001179189,0.000204868,0.01220624,0.9866163,0.000015854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"dataset","genre_scores_codex":[0.001241699,0.002000879,0.0561253,0.5270269,0.01803289,0.002847423,0.02599631,0.01151987,0.3552087],"genre_scores_gemma":[0.01799542,0.002328044,0.09093317,0.2766541,0.00378284,0.006553244,0.03438303,0.008800333,0.5585698],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2370861,"threshold_uncertainty_score":0.793132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5888483143753753,"score_gpt":0.5726380261158311,"score_spread":0.01621028825954418,"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."}}