{"id":"W3164298370","doi":"10.21203/rs.2.11750/v1","title":"Feasibility and Evaluation of a Large-Scale External Validation Approach for Patient-Level Prediction in an International Data Network","year":2019,"lang":"en","type":"preprint","venue":"Research Square","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Scale (ratio); Computer science; Data mining; Geography; Cartography","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07171614,0.00136439,0.001009403,0.001189057,0.001522335,0.002510978,0.003407324,0.002243027,0.00217321],"category_scores_gemma":[0.1215043,0.0004908532,0.001068092,0.001407927,0.001531617,0.002398617,0.003735353,0.001977584,0.001370472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009953139,"about_ca_system_score_gemma":0.003421066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008399663,"about_ca_topic_score_gemma":0.008900761,"domain_scores_codex":[0.9579216,0.03200888,0.001966098,0.003985311,0.003303881,0.0008143167],"domain_scores_gemma":[0.8886463,0.07006911,0.003149821,0.01987971,0.01632253,0.001932449],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01067931,0.01037633,0.467055,0.000802256,0.002772104,0.0006261719,0.00288445,0.1755927,0.02319207,0.005838279,0.02750526,0.272676],"study_design_scores_gemma":[0.001747548,0.003312381,0.08720418,0.0001745221,0.0006394234,0.000360276,0.000937248,0.8821731,0.01275016,0.004255475,0.00634174,0.0001039566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7601099,0.000296739,0.2249143,0.0013913,0.0004124137,0.003358857,0.003317885,0.002490623,0.003708138],"genre_scores_gemma":[0.8929051,0.00005375749,0.09867735,0.0003931342,0.00009559449,0.001757433,0.004852673,0.0002019906,0.001062965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9282839,"threshold_uncertainty_score":0.3792757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.343960059297652,"score_gpt":0.5026205554697459,"score_spread":0.1586604961720939,"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."}}