{"id":"W4394355661","doi":"10.6084/m9.figshare.20326662","title":"EdU Optimization - Concentration Tests - 10-100 um EdU","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004385104,0.0003163842,0.000212171,0.00003053503,0.0004692493,0.00006302146,0.0004508499,0.0001688848,0.9906747],"category_scores_gemma":[0.0001269824,0.000326633,0.000118523,0.000274622,0.00004351138,0.0002086132,0.0008745722,0.0002791929,0.01037366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002595329,"about_ca_system_score_gemma":0.00001124706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001972838,"about_ca_topic_score_gemma":0.00009213389,"domain_scores_codex":[0.9982806,0.00006199601,0.0002362717,0.0005282416,0.0005467595,0.00034613],"domain_scores_gemma":[0.9992396,0.0000527248,0.0002095468,0.0003917972,0.000004183626,0.0001021775],"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":[0.000005677771,0.0000898699,0.0001069696,0.00004020419,0.00001812596,0.00001175626,0.00001480324,0.02513933,0.00000112303,3.238228e-8,0.9742225,0.0003495879],"study_design_scores_gemma":[0.0001399421,0.00008262765,0.003160156,0.00008730422,0.00002946607,0.00000480515,0.0000229962,0.000117698,0.000005544227,0.000003253541,0.9959848,0.0003614027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005820049,0.0002698103,3.257634e-7,0.00004733507,0.0001504341,0.0003741343,0.9963559,0.00004236718,0.002753885],"genre_scores_gemma":[0.00004145546,0.0001343041,0.00005428557,0.0003109424,0.0000932952,0.0004922696,0.998211,0.00001953313,0.0006429577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.980301,"threshold_uncertainty_score":0.9999186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165571275465683,"score_gpt":0.219432015719885,"score_spread":0.2028748881733167,"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."}}