{"id":"W3197887234","doi":"10.3233/isu-210112","title":"KBART Phase III: Unresolved questions","year":2021,"lang":"en","type":"article","venue":"Information Services & Use","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Respiratory Research Network","funders":"","keywords":"Session (web analytics); Presentation (obstetrics); Breakout; Library science; Coronavirus disease 2019 (COVID-19); Operations research; Sociology; Computer science; World Wide Web; Engineering; Business; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0002695647,0.0001356518,0.0001499864,0.0002041092,0.0002799663,0.002556541,0.0008755804,0.00007150634,0.0001195908],"category_scores_gemma":[0.00002089407,0.0001237705,0.00006817068,0.001103587,0.00002314476,0.06954575,0.0002816197,0.000100931,0.001888632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002891023,"about_ca_system_score_gemma":0.000213134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009903203,"about_ca_topic_score_gemma":0.00001502227,"domain_scores_codex":[0.9983504,0.00005120683,0.0006893658,0.000146026,0.0005008866,0.0002621136],"domain_scores_gemma":[0.9983487,0.00005888745,0.0002805656,0.0007165756,0.0004289781,0.0001662672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009142738,0.0006249672,0.008396914,0.0007792721,0.0001775911,0.00005980963,0.2727341,0.006469903,0.002027539,0.4308053,0.06591233,0.2119208],"study_design_scores_gemma":[0.001376605,0.00004036461,0.002081421,0.0000586535,0.000002573529,0.00005828239,0.002467836,0.1837505,0.002586055,0.0003515189,0.806965,0.0002611929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.305685,0.0001304417,0.6386688,0.005180847,0.002818443,0.0006349813,0.00008118348,0.001480304,0.04532003],"genre_scores_gemma":[0.9623284,0.00005345273,0.0142223,0.02175077,0.000115648,0.00004420975,0.0003743897,0.000006293785,0.001104554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7410527,"threshold_uncertainty_score":0.9988885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817631640173768,"score_gpt":0.2565877615826037,"score_spread":0.238411445180866,"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."}}