{"id":"W6926922056","doi":"10.25545/glkhd9/etybvq","title":"transient_run.py","year":2024,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.0003689021,0.0006578981,0.0005466512,0.0009417754,0.00008547304,0.0002024778,0.001532243,0.0005256593,0.02692911],"category_scores_gemma":[0.0001490751,0.0006385988,0.0002522473,0.0008412952,0.0001729364,0.0002727505,0.0004929422,0.001120848,0.9099709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002491297,"about_ca_system_score_gemma":0.0003863873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005459922,"about_ca_topic_score_gemma":0.0009921683,"domain_scores_codex":[0.9970297,0.00009824354,0.0004667936,0.001124173,0.0006718799,0.0006091812],"domain_scores_gemma":[0.99653,0.00008295617,0.0001246292,0.003002908,0.00005863016,0.0002009083],"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":[0.00004969228,0.0001202104,3.554478e-7,0.000626799,0.0002334973,0.0006985962,0.0000187752,0.000004018557,0.00002054682,0.00006529403,0.9980543,0.0001079289],"study_design_scores_gemma":[0.0004412637,0.00003515903,0.000001191351,0.0004879471,0.001007686,0.00002314084,0.00003774978,0.00001956383,0.00002082171,0.00006038887,0.9972529,0.0006122321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002162297,0.00006070767,0.000003593446,0.00002363388,0.002642604,0.0004697225,0.9946015,0.0003690246,0.001827038],"genre_scores_gemma":[8.035734e-7,0.0002598814,0.00008946319,0.0003207184,0.0004012802,0.00003271253,0.9960673,0.0001048329,0.002723032],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8830419,"threshold_uncertainty_score":0.9996065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849619237196087,"score_gpt":0.2732147903185452,"score_spread":0.2547185979465843,"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."}}