{"id":"W3211964358","doi":"10.1212/wnl.0000000000012833","title":"Neurologic Diagnostics in 2035","year":2021,"lang":"en","type":"article","venue":"Neurology","topic":"Neurological and metabolic disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cornerstone; Process (computing); Emerging technologies; Medicine; Computer science; Psychology; Data science; Medical physics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00007306787,0.0001220416,0.0003138084,0.00007592611,0.00002100358,0.000005107233,0.00007493122,0.0001556925,0.0005376787],"category_scores_gemma":[0.0008720093,0.0001018237,0.00007233251,0.0003019493,0.00009678583,0.00002088134,0.00008727108,0.0004958985,0.0001492179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000223379,"about_ca_system_score_gemma":0.00005944329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001433706,"about_ca_topic_score_gemma":0.00004611487,"domain_scores_codex":[0.9987783,0.0001581527,0.0002099177,0.0003895849,0.0001114195,0.0003526109],"domain_scores_gemma":[0.9992887,0.0002608024,0.00003064634,0.0002679808,0.00004254984,0.0001093602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001768001,0.002094253,0.9015496,0.00006688829,0.00002598396,0.03725796,0.00008157148,0.0001253934,0.01567087,0.008750194,0.005152177,0.02745709],"study_design_scores_gemma":[0.00165856,0.001535559,0.7536755,0.000001613784,0.00003168187,0.0009664851,0.000002758393,0.00008922587,0.0005121997,0.002326427,0.2391041,0.00009590155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550989,0.0008135748,0.00001285256,0.02897436,0.0004480726,0.0001305215,0.000002065531,0.00006629447,0.01445334],"genre_scores_gemma":[0.9103584,0.001037035,0.00006975075,0.08811149,0.00009374751,0.00001930732,0.000009162249,0.00001336394,0.0002878015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2339519,"threshold_uncertainty_score":0.5887205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856447177950411,"score_gpt":0.264578769223059,"score_spread":0.2460142974435549,"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."}}