{"id":"W4389442108","doi":"10.1212/wnl.92.15_supplement.p1.2-096","title":"The Traffic Light System reduces Therapeutic Inertia in MS Care: results from a RCT (P1.2-096)","year":2019,"lang":"en","type":"article","venue":"Neurology","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Terzaghi's principle; Randomized controlled trial; Medicine; Traffic signal; Psychology; Internal medicine; Computer science; History; Archaeology","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":[0.0005331349,0.0001977809,0.0002963655,0.0001361678,0.0001275391,0.00008992384,0.001568176,0.0002200397,0.000001438815],"category_scores_gemma":[0.00009127313,0.0001435438,0.00006300259,0.0004158987,0.00005240216,0.000134087,0.0002226067,0.000568964,0.000243358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009868132,"about_ca_system_score_gemma":0.0002762118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009272922,"about_ca_topic_score_gemma":0.0008528593,"domain_scores_codex":[0.9969919,0.00082762,0.0005214375,0.0008142591,0.0002583522,0.0005864154],"domain_scores_gemma":[0.9972718,0.001200886,0.0001639267,0.001217141,0.00005101494,0.00009522456],"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":[0.00783168,0.0005652774,0.05551757,0.0008842612,0.0003746177,0.00258615,0.127554,0.01797016,0.1231439,0.03789847,0.002905221,0.6227686],"study_design_scores_gemma":[0.0143805,0.006618875,0.3517784,0.0004091335,0.00006044539,0.0006057727,0.000781649,0.2274586,0.006989317,0.0009876067,0.3876389,0.00229071],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976314,0.001178504,0.00008222053,0.0189294,0.002246256,0.0004172706,0.000005777946,0.0002963147,0.0005302569],"genre_scores_gemma":[0.9965045,0.00003785823,0.00006167776,0.003162615,0.0001449223,0.00003166142,0.000002953223,0.00001939639,0.00003437357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6204779,"threshold_uncertainty_score":0.5853546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363838373272358,"score_gpt":0.252233407111515,"score_spread":0.2385950233787915,"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."}}