{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004096405,0.0002213987,0.000564571,0.0005069094,0.0003987125,0.00002837981,0.0002655532,0.0002023033,0.000134526],"category_scores_gemma":[0.01048391,0.0001769708,0.0001257072,0.001007813,0.0003437027,0.0002222188,0.000345306,0.0007196762,0.00003003304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001737934,"about_ca_system_score_gemma":0.00006882349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000974612,"about_ca_topic_score_gemma":0.0000599552,"domain_scores_codex":[0.9959259,0.000966188,0.0004100646,0.0005601814,0.0005291752,0.001608482],"domain_scores_gemma":[0.9928966,0.005837312,0.0000826144,0.0004784245,0.0003200225,0.0003850346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001935879,0.0006181897,0.785765,0.0001474534,0.00004685643,0.00001590619,0.0005856592,0.00001051216,0.1940934,0.0001728013,0.00551353,0.0110948],"study_design_scores_gemma":[0.003316248,0.001261308,0.9651583,0.00008563569,0.00002758689,0.00003394144,0.0002720714,0.0008865619,0.007109009,0.0001793679,0.02147547,0.0001944998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773713,0.0007421304,0.0008653465,0.01713332,0.0002587,0.002211955,0.00002106227,0.0001207088,0.001275458],"genre_scores_gemma":[0.9784323,0.00100863,0.01823569,0.0009067201,0.0003938678,0.0008581179,0.000025207,0.0000416862,0.00009779201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1869844,"threshold_uncertainty_score":0.9978512,"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."}}