{"id":"W3092489655","doi":"10.1016/j.nic.2020.06.002","title":"Knowledge Based Versus Data Based","year":2020,"lang":"en","type":"review","venue":"Neuroimaging Clinics of North America","topic":"AI in cancer detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; McGill University; McGill University Health Centre","funders":"","keywords":"Deep learning; Big data; Data science; Relevance (law); Complementarity (molecular biology); Data-driven; Artificial intelligence; Medicine; Field (mathematics); Medical knowledge; Computer science; Data mining","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":[0.003077019,0.001317557,0.003260884,0.007966381,0.0003572062,0.002852862,0.001829741,0.0023727,0.008336859],"category_scores_gemma":[0.01214092,0.0005918643,0.002163644,0.00755677,0.001351084,0.003400196,0.001172301,0.002657573,0.001420944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002202341,"about_ca_system_score_gemma":0.003910391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005749119,"about_ca_topic_score_gemma":0.009086746,"domain_scores_codex":[0.9984483,0.0004741357,0.0002710085,0.0003154012,0.0004012874,0.00008995039],"domain_scores_gemma":[0.9916725,0.006918576,0.0006585716,0.0001700423,0.0004659789,0.0001143415],"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":[0.0001125772,0.00006606102,0.0002973224,0.1021672,0.0009087264,0.00007507142,0.00008365506,0.00042645,0.0002114219,0.005057819,0.01265019,0.8779435],"study_design_scores_gemma":[0.000275271,0.0003855346,0.004079613,0.2261106,0.007078065,0.001689898,0.0003632039,0.0009096174,0.0009824309,0.01763559,0.7403614,0.0001287432],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005108023,0.9987739,0.0001724966,0.0002103437,0.00008705047,0.000008710307,0.00003191201,0.000004534026,0.000660027],"genre_scores_gemma":[0.001579838,0.9969003,0.0005461117,0.0005053513,0.0001896121,0.0000167008,0.000054799,0.000002650439,0.000204558],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008336859,"threshold_uncertainty_score":0.02788961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.189524951683884,"score_gpt":0.4119394429102233,"score_spread":0.2224144912263394,"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."}}