{"id":"W2016117403","doi":"10.1111/ane.12031","title":"Harmonization: a methodology for advancing research in multiple sclerosis","year":2012,"lang":"en","type":"article","venue":"Acta Neurologica Scandinavica","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Faculty of Medicine, McGill University; McGill University","keywords":"Harmonization; Comparability; Observational study; Quality (philosophy); Sample (material); Process (computing); Risk analysis (engineering); Computer science; Management science; Business; Medicine; Engineering; Pathology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5145263,0.003092885,0.006870281,0.0231152,0.007203006,0.01673613,0.00909743,0.00644598,0.01013157],"category_scores_gemma":[0.6448734,0.003191633,0.009891845,0.02725134,0.02008565,0.01684977,0.0294968,0.01162433,0.003259439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006568567,"about_ca_system_score_gemma":0.02922014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001557608,"about_ca_topic_score_gemma":0.001822456,"domain_scores_codex":[0.2899246,0.6144351,0.0466447,0.01563785,0.0313811,0.001976667],"domain_scores_gemma":[0.2662974,0.5034726,0.03090812,0.1429945,0.05269602,0.003631315],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005639405,0.0001617339,0.001256497,0.008477513,0.00139085,0.0004191084,0.02806568,0.002502139,0.001094626,0.6499087,0.03407901,0.2720802],"study_design_scores_gemma":[0.0004431772,0.0003204466,0.001191465,0.005099268,0.0006417051,0.0003567916,0.005051003,0.003568404,0.001127547,0.6896008,0.2923561,0.0002433077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001154416,0.002577233,0.9724786,0.0055212,0.002069738,0.007236094,0.0004735219,0.0008787399,0.00761044],"genre_scores_gemma":[0.007904305,0.0009669496,0.9694535,0.001122862,0.0006338188,0.01843142,0.0003124495,0.0003664814,0.0008081841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4854737,"threshold_uncertainty_score":0.5986755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5470770481152039,"score_gpt":0.4539650579744872,"score_spread":0.09311199014071664,"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."}}