{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003526333,0.001700102,0.001906051,0.00235861,0.0007454875,0.002082114,0.003177763,0.002344976,0.01240505],"category_scores_gemma":[0.01338769,0.0006896086,0.001337753,0.002054604,0.001053671,0.005698797,0.004426991,0.003280865,0.004946983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013869,"about_ca_system_score_gemma":0.002362926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01913873,"about_ca_topic_score_gemma":0.01859888,"domain_scores_codex":[0.9982494,0.0004513496,0.000113986,0.000654508,0.0003774915,0.0001532977],"domain_scores_gemma":[0.9956014,0.001343393,0.000124024,0.001673984,0.001105271,0.0001519061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005248212,0.0004239703,0.002522731,0.0002845914,0.0003213566,0.0001537199,0.0001627063,0.1242995,0.009798884,0.01765528,0.02890189,0.8149506],"study_design_scores_gemma":[0.00006175422,0.0001445347,0.0007232641,0.00004797846,0.00006959004,0.00006294579,0.00007018207,0.9482921,0.006800444,0.03479629,0.008910915,0.00001999386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07303265,0.0021318,0.8708506,0.003516578,0.001072961,0.0002956432,0.001628992,0.03373036,0.01374037],"genre_scores_gemma":[0.5928587,0.001237537,0.3781671,0.002222179,0.0005935898,0.0003519282,0.00572594,0.002457043,0.01638609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01913873,"threshold_uncertainty_score":0.04149908,"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."}}