{"id":"W4386303854","doi":"10.4095/332136","title":"GSC at work 2022","year":2023,"lang":"en","type":"report","venue":"","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Work (physics); Computer science; Engineering; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001357699,0.001071784,0.0006687061,0.001976705,0.002004371,0.003223696,0.001767488,0.003281975,0.5010058],"category_scores_gemma":[0.003262021,0.0002653965,0.0005479606,0.001087397,0.0009348989,0.0007937091,0.002039712,0.00254342,0.3708503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682371,"about_ca_system_score_gemma":0.006161109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01930082,"about_ca_topic_score_gemma":0.0251046,"domain_scores_codex":[0.9988224,0.0001035301,0.00001805065,0.0001375867,0.0005684725,0.0003499503],"domain_scores_gemma":[0.9973023,0.0002293741,0.00005130157,0.0003106938,0.0009257019,0.001180597],"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":[0.0001410013,0.0001176091,0.0005846497,0.00002757866,0.000004362004,0.0002455934,0.00002784431,0.0001521996,0.0003871634,0.004013762,0.9644865,0.02981173],"study_design_scores_gemma":[0.0000402621,0.00005156545,0.001295644,0.00003136611,0.000003599861,0.0001936507,0.0001075797,0.0002905519,0.0007837559,0.0018335,0.9953598,0.000008624094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003755776,0.0003125193,0.001433092,0.01096164,0.003926152,0.0003391243,0.03282238,0.002896507,0.9435527],"genre_scores_gemma":[0.008695846,0.0001738228,0.001172858,0.001144864,0.0003137614,0.0001055711,0.01112893,0.0005537332,0.9767107],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5010058,"threshold_uncertainty_score":0.7117546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05961919631591688,"score_gpt":0.3822286634004688,"score_spread":0.322609467084552,"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."}}