{"id":"W2999777210","doi":"10.29173/hsi138","title":"Not so liberating after all: Multiple Sclerosis disease and treatments","year":2013,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Multiple sclerosis; Medicine; Disease; Internal medicine; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001895267,0.00008844126,0.0001293165,0.000111994,0.0003061625,0.00003976859,0.00006854285,0.0002983195,0.00009704357],"category_scores_gemma":[0.00006660198,0.00006437807,0.0000219521,0.0002269963,0.001123996,0.0002087913,0.00006811656,0.0004777773,0.00008843324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004774227,"about_ca_system_score_gemma":0.0002755015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001369509,"about_ca_topic_score_gemma":0.000004247162,"domain_scores_codex":[0.9989623,0.00001025521,0.0001711252,0.0003059189,0.0001760871,0.0003743109],"domain_scores_gemma":[0.9992277,0.00002263101,0.00004835297,0.0002252968,0.00003820022,0.0004378009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004546591,0.0008580216,0.6124794,0.0005835289,0.000105194,0.0001070391,0.01393165,0.000006549327,0.03240719,0.0007167348,0.007197524,0.3311525],"study_design_scores_gemma":[0.0006916934,0.0002323514,0.9944582,0.0002124548,0.00002043903,0.00002016469,0.0002118781,0.001551608,0.001827293,0.00004763664,0.000637919,0.00008838614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401053,0.0009199006,0.00004468738,0.05820351,0.0002335578,0.0003667499,0.000001343348,0.00007571805,0.00004919413],"genre_scores_gemma":[0.981154,0.0007030436,0.001629948,0.01621201,0.00005618843,0.00006573726,0.000002053057,0.000006487456,0.0001704805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3819788,"threshold_uncertainty_score":0.4141409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08162390748679596,"score_gpt":0.3319238793821199,"score_spread":0.2502999718953239,"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."}}