{"id":"W4234729486","doi":"10.1001/jamapediatrics.2018.4095","title":"Transposed Row Labels and Data in Table","year":2018,"lang":"en","type":"erratum","venue":"JAMA Pediatrics","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Table (database); Sentence; MEDLINE; Natural language processing; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007334309,0.001728705,0.001894628,0.006691526,0.00194518,0.004362009,0.002805144,0.002101498,0.524264],"category_scores_gemma":[0.1702219,0.001315804,0.002232704,0.01070877,0.0009741426,0.003643532,0.002150916,0.006497581,0.2905661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003161229,"about_ca_system_score_gemma":0.009342958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01817103,"about_ca_topic_score_gemma":0.02339124,"domain_scores_codex":[0.9898065,0.002514937,0.002339347,0.001054348,0.003718507,0.0005664253],"domain_scores_gemma":[0.9032631,0.04924986,0.003931508,0.01000364,0.03249719,0.001054648],"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":[0.00006201467,0.00001194607,0.0001029456,0.00042666,0.00001196712,0.00002482614,0.00003126396,0.00003571689,0.00004755061,0.001480954,0.9929462,0.004817907],"study_design_scores_gemma":[0.0001127637,0.00002016656,0.0006053004,0.0009816819,0.0000258471,0.00005812521,0.0001206282,0.00008260864,0.0001828819,0.002836057,0.9949484,0.00002550177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007785325,0.00155713,0.007386064,0.02855264,0.2250353,0.001030231,0.6431826,0.004315035,0.08816235],"genre_scores_gemma":[0.01244947,0.005262936,0.04454755,0.04959466,0.02018173,0.006087543,0.4864389,0.01502589,0.3604113],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.524264,"threshold_uncertainty_score":0.6785796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.629932980807526,"score_gpt":0.4987588119796917,"score_spread":0.1311741688278343,"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."}}