{"id":"W4294321765","doi":"10.1148/ryai.220126","title":"Moving from ImageNet to RadImageNet for Improved Transfer Learning and Generalizability","year":2022,"lang":"en","type":"article","venue":"Radiology Artificial Intelligence","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Intégré de Santé et Services Sociaux de Chaudière-Appalache","funders":"","keywords":"Generalizability theory; Artificial intelligence; Deep learning; Transfer of learning; Medicine; Machine learning; Boulevard; Medical imaging; Library science; Computer science; Psychology","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":[0.000799339,0.0002157429,0.0004527956,0.0001540968,0.0004863906,0.00002969799,0.0001732344,0.00009772666,0.000912406],"category_scores_gemma":[0.0007646586,0.0002357959,0.0001237076,0.0002571844,0.000185291,0.00004637453,0.0001359773,0.0003817492,0.00001723333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002224568,"about_ca_system_score_gemma":0.0001554821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004512702,"about_ca_topic_score_gemma":0.00008116476,"domain_scores_codex":[0.9978567,0.0002980564,0.000482317,0.00079686,0.0001229349,0.0004431206],"domain_scores_gemma":[0.9984629,0.0008852677,0.00004728934,0.0003074915,0.00008800364,0.0002090973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001550292,0.0002812885,0.006275249,0.00005947095,0.0001523885,0.00003206712,0.002675534,0.01761463,0.8221355,0.0009360407,0.003509642,0.1447779],"study_design_scores_gemma":[0.0007337737,0.004223387,0.007421191,0.00004083437,0.0004947082,0.0001808597,0.001494266,0.2625625,0.4316498,0.01003007,0.2799964,0.001172103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7681497,0.0007078655,0.2114106,0.01789456,0.0004887306,0.001090258,0.0001164402,0.0001256015,0.00001624216],"genre_scores_gemma":[0.9717316,0.00007360087,0.01283298,0.01418399,0.0003917016,0.0004820093,0.00009890641,0.00005011728,0.0001550949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3904857,"threshold_uncertainty_score":0.9990206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04840705181669958,"score_gpt":0.3411368639542485,"score_spread":0.292729812137549,"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."}}