{"id":"W4394273779","doi":"10.6084/m9.figshare.14466333","title":"Table_E1_DrugsAccessionNumber.xlsx","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Database","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001252661,0.001604674,0.001983853,0.004998223,0.0007896812,0.003497956,0.001817698,0.00186913,0.5253479],"category_scores_gemma":[0.01092834,0.0009062,0.001147563,0.009186803,0.0004890208,0.002078693,0.00194196,0.001625344,0.2827209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430601,"about_ca_system_score_gemma":0.00267345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00719433,"about_ca_topic_score_gemma":0.01089357,"domain_scores_codex":[0.9988697,0.0001441742,0.0002136389,0.0003737299,0.0002359955,0.0001627677],"domain_scores_gemma":[0.9943439,0.002704648,0.0006909812,0.0007878639,0.0009063079,0.0005663733],"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":[0.0001174581,0.00002344885,0.0007936779,0.001810689,0.00003442825,0.00003060979,0.00001811344,0.000159235,0.0001308462,0.0005689138,0.9926375,0.003675127],"study_design_scores_gemma":[0.0003505539,0.00002383223,0.002147245,0.0004036487,0.00003395128,0.00007748162,0.00002403663,0.0001004409,0.0002973377,0.0008653714,0.9956547,0.00002132906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003672325,0.00005078855,0.00003630639,0.00005255895,0.00001794883,0.00001211977,0.9988617,0.0001598135,0.000772094],"genre_scores_gemma":[0.0005708957,0.0001908473,0.0003611601,0.0002166349,0.00002554622,0.0001277637,0.9963681,0.0002058325,0.001933264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5253479,"threshold_uncertainty_score":0.6770335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1295586029896093,"score_gpt":0.4232314740991253,"score_spread":0.2936728711095159,"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."}}