{"id":"W4243873126","doi":"10.1080/21681163.2019.1594056","title":"Editorial","year":2019,"lang":"en","type":"editorial","venue":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Multiple Sclerosis Society of Canada","keywords":"Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004467937,0.002351065,0.00276352,0.003673519,0.002573765,0.007957612,0.00238111,0.01003347,0.07940961],"category_scores_gemma":[0.02654899,0.0008514325,0.001633326,0.001323933,0.001424577,0.002905181,0.002513665,0.009387862,0.0580478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002271367,"about_ca_system_score_gemma":0.003002024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294215,"about_ca_topic_score_gemma":0.003730817,"domain_scores_codex":[0.9957762,0.0007975532,0.0003998655,0.0005084457,0.002092185,0.0004257253],"domain_scores_gemma":[0.9826201,0.004190621,0.001451082,0.00075219,0.007426703,0.003559241],"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":[0.00001371347,0.000003512565,0.000007155552,0.0000659551,0.000005293804,0.00004490247,0.000003098533,0.00000623925,0.00001639688,0.00009459379,0.9957842,0.003954954],"study_design_scores_gemma":[0.0000416954,0.00001128032,0.00007966578,0.0002268061,0.00001692443,0.0001498229,0.00001255737,0.00003064803,0.00004353372,0.0005925407,0.9987871,0.000007538344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000404737,0.005395578,0.0001104044,0.032037,0.953034,0.00003754947,0.0001396972,0.00008787591,0.009117493],"genre_scores_gemma":[0.0006738102,0.00438983,0.0001588976,0.03198368,0.9057201,0.00005448203,0.0001715057,0.0001162728,0.0567315],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07940961,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008970546297398184,"score_gpt":0.3477849466343498,"score_spread":0.3388144003369516,"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."}}