{"id":"W4394364714","doi":"10.6084/m9.figshare.20338914","title":"EdU Optimization - Concentration Tests - 10-35 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":[0.00004212374,0.0003120135,0.0002092359,0.00002891983,0.00046579,0.00006196895,0.0004441213,0.0001666171,0.9896456],"category_scores_gemma":[0.0001282001,0.000322267,0.0001171842,0.0002589295,0.00004289119,0.0002061808,0.0008763372,0.0002843743,0.009675184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002499828,"about_ca_system_score_gemma":0.00001071096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001756016,"about_ca_topic_score_gemma":0.00009022899,"domain_scores_codex":[0.9983032,0.0000606488,0.0002330882,0.0005217315,0.0005395631,0.000341821],"domain_scores_gemma":[0.9992498,0.00005179865,0.0002081803,0.0003858877,0.000003717399,0.0001005989],"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":[0.000005544745,0.00008388452,0.0001095157,0.00004013645,0.00001789066,0.00001160181,0.00001405738,0.02392219,0.00000123024,3.179012e-8,0.9754241,0.0003698156],"study_design_scores_gemma":[0.000139752,0.00007671128,0.003043829,0.00009737332,0.00002926438,0.000004711068,0.0000227396,0.0001200582,0.000005666762,0.000003307971,0.9960998,0.0003567779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005880208,0.0002819361,3.311478e-7,0.00004356891,0.0001507462,0.0003689695,0.9965733,0.00004160659,0.002533694],"genre_scores_gemma":[0.00004098917,0.00015031,0.00005631737,0.0003083987,0.0000915479,0.0004846674,0.9982609,0.00001919271,0.0005877407],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9799704,"threshold_uncertainty_score":0.9999229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461404292890259,"score_gpt":0.2128473514213509,"score_spread":0.1982333084924483,"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."}}