{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008662561,0.000110328,0.0002460132,0.00005686833,0.00006105963,6.836336e-7,0.00014559,0.00004831406,0.0003612268],"category_scores_gemma":[0.0001317921,0.00009412038,0.0000118764,0.00007190453,0.00008904644,0.00006125595,0.00005585442,0.0005702841,0.000001515927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004725065,"about_ca_system_score_gemma":0.00002951391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005438001,"about_ca_topic_score_gemma":7.200651e-7,"domain_scores_codex":[0.9991973,0.00006233233,0.0002281236,0.0001323867,0.0002071129,0.0001727264],"domain_scores_gemma":[0.9996212,0.00007820808,0.00002805077,0.000145298,0.00003220496,0.00009506426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003305217,0.00001948015,0.001477703,0.05105336,0.0001762292,0.0002164095,0.06198683,0.0001845065,0.0002265558,0.07723674,0.2341081,0.573281],"study_design_scores_gemma":[0.0005323256,0.0002194296,0.000759283,0.001428748,0.0001023688,0.000170733,0.02640656,0.0007535297,0.0000484872,0.0238403,0.9453745,0.000363739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04238304,0.914565,0.00002887698,0.02492807,0.0001687052,0.0003463361,0.00000377007,0.0002583632,0.01731779],"genre_scores_gemma":[0.5833323,0.4145653,0.000002855058,0.00133365,0.00007787577,0.00009992815,0.000009879678,0.00001442601,0.0005638058],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7112664,"threshold_uncertainty_score":0.3955181,"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."}}