{"id":"W4283735678","doi":"10.1097/acm.0000000000004795","title":"RIME Review Process: Unique Challenges and Opportunities","year":2022,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Green IT and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Hard rime; Process (computing); Medicine; Computer science; Geography; Meteorology","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":["metaresearch"],"category_scores_codex":[0.2428202,0.001016417,0.002081833,0.006839012,0.00763695,0.03731868,0.004869503,0.01321966,0.01466768],"category_scores_gemma":[0.3115278,0.001148121,0.001586479,0.004066237,0.007759255,0.01869056,0.01679798,0.01345345,0.009590012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007200991,"about_ca_system_score_gemma":0.07556677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001962877,"about_ca_topic_score_gemma":0.01004224,"domain_scores_codex":[0.8619289,0.07624667,0.01091017,0.007196556,0.03623492,0.007482642],"domain_scores_gemma":[0.5181518,0.1987631,0.03203163,0.02916315,0.1646741,0.05721626],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002200596,0.0003073652,0.002770626,0.005059035,0.0002623069,0.001153917,0.00648592,0.0005306826,0.001562501,0.0722523,0.5683198,0.3410755],"study_design_scores_gemma":[0.00004594888,0.0001243689,0.001603076,0.002973336,0.00005216447,0.0004932537,0.003627695,0.0003687851,0.0004916117,0.02549011,0.9646161,0.0001135468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004241109,0.04969639,0.02120722,0.8336396,0.04988168,0.001025194,0.0004002835,0.000606295,0.03930214],"genre_scores_gemma":[0.1599993,0.1001168,0.1163714,0.3927092,0.1238273,0.005025651,0.001688379,0.001725632,0.09853652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7571797,"threshold_uncertainty_score":0.9337375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07402946691193106,"score_gpt":0.2946638742521921,"score_spread":0.220634407340261,"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."}}