{"id":"W3092072310","doi":"10.1016/j.nic.2020.08.006","title":"Machine Intelligence in Neurologic and Head and Neck Imaging","year":2020,"lang":"en","type":"editorial","venue":"Neuroimaging Clinics of North America","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Head and neck; Head (geology); Radiology; Surgery","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":[0.01828716,0.004275329,0.006135015,0.009356478,0.003747921,0.01132074,0.004179635,0.02139407,0.01146574],"category_scores_gemma":[0.056123,0.002272947,0.003432322,0.003660812,0.004330484,0.006287089,0.002586206,0.02539651,0.008546242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00555981,"about_ca_system_score_gemma":0.005808128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005815814,"about_ca_topic_score_gemma":0.01687405,"domain_scores_codex":[0.9887837,0.002990101,0.001849428,0.001037632,0.004793114,0.0005460573],"domain_scores_gemma":[0.917197,0.04241062,0.003592556,0.00182815,0.02860884,0.006362818],"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":[0.00002934364,0.00000710566,0.00002500665,0.0002074981,0.00003026241,0.00005410857,0.000006763355,0.00002568621,0.00002137108,0.0002681667,0.9933193,0.006005482],"study_design_scores_gemma":[0.0001760449,0.00003845063,0.0005744027,0.001225536,0.0002013616,0.0004652048,0.00004697463,0.0006795191,0.0001275259,0.003448629,0.9929718,0.00004447044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002305239,0.01625826,0.0002751756,0.04455191,0.9377421,0.00001392559,0.00005818369,0.00006016871,0.001017274],"genre_scores_gemma":[0.000279666,0.006225798,0.0001765593,0.01533998,0.9745867,0.00001696542,0.00002834067,0.00003470428,0.003311248],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02139407,"threshold_uncertainty_score":0.09671295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02956159083007231,"score_gpt":0.3143864179070813,"score_spread":0.284824827077009,"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."}}