{"id":"W6908112345","doi":"10.25504/fairsharing.mtkkwk","title":"FAIRsharing record for: Coronavirus and MS Reporting Database","year":2018,"lang":"en","type":"dataset","venue":"FAIRsharing.org","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiple sclerosis; Coronavirus disease 2019 (COVID-19); Coronavirus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); MEDLINE; Pandemic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001468281,0.001048494,0.001150092,0.004283039,0.0008460775,0.002997556,0.002441158,0.001710559,0.1680011],"category_scores_gemma":[0.01564927,0.0006458804,0.0009536631,0.009383951,0.0003707167,0.002446988,0.002435071,0.001469613,0.09559349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002028231,"about_ca_system_score_gemma":0.003791888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03607117,"about_ca_topic_score_gemma":0.03414471,"domain_scores_codex":[0.9984847,0.0002038646,0.000397196,0.0003700885,0.0003429835,0.0002011623],"domain_scores_gemma":[0.9929939,0.001588738,0.001289618,0.001319858,0.002072963,0.0007350123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004192555,0.00000612779,0.0007246484,0.0002744291,0.00001430823,0.0000129888,0.00001130296,0.0000571518,0.00002252501,0.0004585395,0.9969925,0.001383503],"study_design_scores_gemma":[0.0003326333,0.00001418032,0.006635095,0.0005286575,0.00002723596,0.00006572458,0.00007216533,0.0002006042,0.0001514474,0.0015061,0.9904337,0.00003244836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005584068,0.00002809343,0.00002763982,0.0001081366,0.00001835721,0.000008614394,0.9989657,0.0000951543,0.000692516],"genre_scores_gemma":[0.0005000505,0.00007345116,0.000139622,0.0001255818,0.00001722357,0.00006544181,0.9980695,0.00008027042,0.0009288919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1680011,"threshold_uncertainty_score":0.5620198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1581381402363429,"score_gpt":0.3796900533148403,"score_spread":0.2215519130784974,"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."}}