{"id":"W4200169784","doi":"10.1177/20552173211051855","title":"Multiple Sclerosis International Federation guideline methodology for off-label treatments for multiple sclerosis","year":2021,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal - Experimental Translational and Clinical","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Guideline; Checklist; Grading (engineering); Transparency (behavior); Medicine; Judgement; Population; Medical education; Public relations; Psychology; Political science; Environmental health; Engineering; Pathology","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003078914,0.0005327887,0.001060618,0.0001906897,0.0009203667,0.0002936519,0.0002265198,0.0004505034,0.0005073893],"category_scores_gemma":[0.008804832,0.0005021875,0.0009914516,0.0002126376,0.0002558008,0.0007898427,0.0000995259,0.0005643563,0.00001637979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000241316,"about_ca_system_score_gemma":0.0004286639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007128232,"about_ca_topic_score_gemma":0.0002294666,"domain_scores_codex":[0.9929038,0.0005871074,0.003984911,0.001076363,0.0008378482,0.0006099643],"domain_scores_gemma":[0.9864201,0.010242,0.0009102958,0.0003247877,0.001489194,0.0006136299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0169617,0.00916788,0.1481372,0.00006595608,0.003245724,0.00001728262,0.0006254738,0.0002467732,0.5015039,0.0003587823,0.009547106,0.3101221],"study_design_scores_gemma":[0.2069273,0.006292513,0.3959796,0.0009452617,0.003195872,0.0006024321,0.005082871,0.2034795,0.1357634,0.002067624,0.03782389,0.001839825],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7811031,0.003246762,0.1783571,0.02951154,0.003379588,0.00281201,0.001399972,0.0001199288,0.0000699755],"genre_scores_gemma":[0.6676124,0.001923885,0.3226289,0.003245768,0.001795269,0.0002838327,0.002255926,0.00008331813,0.0001707033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3657406,"threshold_uncertainty_score":0.999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6834472202916444,"score_gpt":0.5261637888695437,"score_spread":0.1572834314221007,"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."}}