{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0003337038,0.0006003206,0.001937869,0.0003377303,0.0001088065,0.0001237528,0.006888429,0.0001176777,0.00001311137],"category_scores_gemma":[0.00104767,0.0006111329,0.000546504,0.002352656,0.0002386767,0.0004197037,0.001773831,0.001126714,0.0002363103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169938,"about_ca_system_score_gemma":0.002807306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001790551,"about_ca_topic_score_gemma":0.00001119361,"domain_scores_codex":[0.9953111,0.0005306886,0.001294711,0.001867089,0.0005469269,0.0004494276],"domain_scores_gemma":[0.990399,0.002941874,0.001582836,0.004645562,0.0001827948,0.0002479464],"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":[0.0000138303,0.0000705382,0.00001951966,0.002598287,0.00004131286,0.00002997426,0.000007866563,0.00006002319,1.477386e-8,0.000003267711,0.00258019,0.9945752],"study_design_scores_gemma":[0.0003681844,0.0002566448,0.00001097477,0.0009090612,0.0002867056,0.000002739734,4.004932e-7,0.1647044,1.830842e-7,0.000002246033,0.8330767,0.0003818339],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.084035e-7,0.8076984,0.1868844,0.000329156,0.003450472,0.0004736608,0.0002545983,0.0003910342,0.0005179855],"genre_scores_gemma":[0.00002114672,0.9591711,0.03938426,0.0006056004,0.000366519,0.00003165909,0.0003038301,0.0001046433,0.00001121625],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9941933,"threshold_uncertainty_score":0.999634,"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."}}