{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.003804678,0.00166715,0.002041163,0.0008736783,0.0009245765,0.0004839916,0.001893296,0.001099838,0.001352693],"category_scores_gemma":[0.007557699,0.001796182,0.0004700325,0.0006309121,0.0004776003,0.001045971,0.004582958,0.001891008,0.004406281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000669118,"about_ca_system_score_gemma":0.0003902245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005764697,"about_ca_topic_score_gemma":0.007722407,"domain_scores_codex":[0.9896266,0.0001431986,0.003667547,0.003384139,0.001155092,0.002023427],"domain_scores_gemma":[0.9871706,0.000449161,0.006817746,0.004263668,0.0005540448,0.0007447407],"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":[0.0002945782,0.0001435367,0.009726995,0.00139061,0.000327294,0.0002622068,0.00006896106,7.874259e-7,0.001103805,0.00001582879,0.986125,0.0005404144],"study_design_scores_gemma":[0.001358868,0.0002842631,0.003028821,0.001596679,0.0006756599,0.0002662088,0.00007751889,0.00008566828,0.0005976007,0.0001114088,0.9899236,0.001993693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01211118,0.0005608265,0.0000445766,0.00003325779,0.002245079,0.001926019,0.9817286,0.0008036306,0.0005468559],"genre_scores_gemma":[0.0006241504,0.0001778642,0.002768279,0.0001901255,0.003130169,0.0006050915,0.9909829,0.000622245,0.0008991201],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01148703,"threshold_uncertainty_score":0.9996076,"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."}}