{"id":"W4225856902","doi":"10.2196/38655","title":"Levels of Autonomous Radiology","year":2022,"lang":"en","type":"preprint","venue":"Interactive Journal of Medical Research","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Modalities; Data science; Computer science; Radiology; Automation; Medicine; Medical physics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003213051,0.0009327236,0.0007871254,0.001628502,0.00292232,0.01276827,0.003536076,0.003681441,0.03154145],"category_scores_gemma":[0.009960338,0.001011084,0.001557125,0.001183677,0.00531464,0.009044616,0.01027547,0.004327457,0.01999154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002870408,"about_ca_system_score_gemma":0.002832652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136635,"about_ca_topic_score_gemma":0.001668388,"domain_scores_codex":[0.9946537,0.001189042,0.0003615185,0.001142896,0.001939583,0.0007132728],"domain_scores_gemma":[0.9917849,0.001634415,0.0004914012,0.002801978,0.002043712,0.0012436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007310278,0.00005517193,0.001681346,0.0003028456,0.0000354359,0.0002519437,0.001663863,0.002287558,0.003309372,0.8601679,0.03016368,0.1000077],"study_design_scores_gemma":[0.00001952947,0.00007936675,0.00127037,0.0002527999,0.00002594508,0.0006097846,0.000666824,0.009197552,0.002074445,0.5276439,0.4580919,0.0000675271],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01599401,0.006277881,0.6126253,0.02425342,0.001835499,0.0004376918,0.000951989,0.005276701,0.3323476],"genre_scores_gemma":[0.327417,0.003771381,0.5441954,0.005151723,0.00193602,0.0006748851,0.002035169,0.001260308,0.1135582],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03154145,"threshold_uncertainty_score":0.1055166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0926620856865341,"score_gpt":0.5032429644822688,"score_spread":0.4105808787957347,"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."}}