{"id":"W4236755365","doi":"10.1002/lrh2.10061","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"Learning Health Systems","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Assistance publique-Hôpitaux de Paris; Nederlands Instituut voor Onderzoek van de Gezondheidszorg; Institut National de la Santé et de la Recherche Médicale; University of Warwick; University of Illinois at Urbana-Champaign; University of Southampton; University of Dundee; University of Washington; York University; National Health Research Institutes; King's College London; Vanderbilt University; University of Pennsylvania; Georgia Institute of Technology; Carnegie Mellon University; Harvard University; Purdue University","keywords":"Computer science; Cognitive science; Data science; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00195882,0.00106863,0.00141079,0.003465504,0.001412209,0.005858578,0.002082643,0.002388611,0.9523946],"category_scores_gemma":[0.01539998,0.0004955503,0.0008908313,0.003134507,0.0004684591,0.003345793,0.002313984,0.002002729,0.8783656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630329,"about_ca_system_score_gemma":0.00286662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894847,"about_ca_topic_score_gemma":0.003919562,"domain_scores_codex":[0.998262,0.0002433614,0.0001510755,0.0002454306,0.0008691004,0.0002290732],"domain_scores_gemma":[0.9916374,0.001410172,0.0003348117,0.0009155127,0.003897569,0.001804549],"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":[0.00003063149,0.00001972345,0.00004119932,0.0001482869,0.000001794361,0.00001325631,0.000008807492,0.00002371069,0.00005598092,0.001120312,0.9744644,0.02407193],"study_design_scores_gemma":[0.00001300795,0.0000133524,0.0001405661,0.0001124863,0.00000152874,0.00001958307,0.00001613319,0.00003875905,0.00006226607,0.0006821011,0.998897,0.000003367967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003503236,0.0008655229,0.001424038,0.006782517,0.01822137,0.0006061107,0.06187258,0.002770396,0.9071071],"genre_scores_gemma":[0.001273049,0.0005010996,0.0004471867,0.001479408,0.0015292,0.0001884542,0.01673324,0.0006681831,0.9771804],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9523946,"threshold_uncertainty_score":0.06790322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03919260246464022,"score_gpt":0.2516319853998695,"score_spread":0.2124393829352293,"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."}}