{"id":"W4404043775","doi":"10.1080/14778238.2024.2420816","title":"Implementing an unlearning approach to combat counter-knowledge in multiple sclerosis","year":2024,"lang":"en","type":"article","venue":"Knowledge Management Research & Practice","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Knowledge management; Knowledge sharing; Multiple sclerosis; Business; Data science; Computer science; Psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005201871,0.0002223456,0.0001809525,0.001120707,0.0002036581,0.000502075,0.0004638307,0.00009208729,0.00006012681],"category_scores_gemma":[0.0002949849,0.0002275178,0.00004432338,0.002421055,0.00004923933,0.000828612,0.0004431976,0.0009172944,0.00108436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532337,"about_ca_system_score_gemma":0.00004456452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009326271,"about_ca_topic_score_gemma":0.0001311006,"domain_scores_codex":[0.9972944,0.0002773847,0.0003499866,0.0005417405,0.0004761891,0.001060313],"domain_scores_gemma":[0.9985366,0.000618898,0.0000128863,0.0004044142,0.0001385239,0.0002886175],"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":[0.00008462212,0.002603248,0.0004641771,0.01273014,0.0005282491,0.00008146367,0.02260708,0.007481264,0.004469699,0.04351973,0.1014727,0.8039576],"study_design_scores_gemma":[0.0002590833,0.00005780234,0.001910935,0.0004207675,0.00002178901,0.000003945329,0.005680024,0.2732674,0.0001144614,0.00004723875,0.7179658,0.0002507704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06129373,0.01005475,0.04748319,0.001037171,0.002289694,0.001942671,0.00001160491,0.001880424,0.8740067],"genre_scores_gemma":[0.9902868,0.0004692929,0.005862054,0.00002290541,0.0003899195,0.0004623426,0.00005179456,0.00008865754,0.002366192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9289931,"threshold_uncertainty_score":0.9996934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1274172420526739,"score_gpt":0.3793905223089616,"score_spread":0.2519732802562877,"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."}}