{"id":"W6889220353","doi":"10.25545/mmnbnm/dejwmz","title":"073003-acc stage 5.csv","year":2025,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Stage (stratigraphy); Process (computing); Identification (biology); Selection (genetic algorithm)","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":[0.0005925512,0.0009023798,0.0008590171,0.0009704919,0.0002064963,0.0002450026,0.002872826,0.0007029569,0.0508824],"category_scores_gemma":[0.0009476089,0.0009568031,0.000237699,0.001006033,0.0002451959,0.0005087937,0.002292999,0.001289331,0.2257562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00048853,"about_ca_system_score_gemma":0.0008382971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002679611,"about_ca_topic_score_gemma":0.001863959,"domain_scores_codex":[0.9958372,0.0002521463,0.0006706026,0.00139335,0.0009224635,0.000924292],"domain_scores_gemma":[0.9927407,0.0001912925,0.000482347,0.006136943,0.0001375439,0.0003111596],"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":[0.00009885384,0.0001981504,0.000004042922,0.0004390069,0.0002420315,0.000644893,0.00001053921,0.000009253575,0.00002683322,0.0001012238,0.9981111,0.0001140702],"study_design_scores_gemma":[0.0009537162,0.00004538667,0.000006977501,0.0002481435,0.0004316382,0.000008821596,0.00008619864,0.00001423604,0.00004015518,0.00001122807,0.9972785,0.0008750031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005258536,0.0000242951,0.000008704179,0.00001151125,0.00178149,0.0006737967,0.9944631,0.0003173446,0.002714514],"genre_scores_gemma":[4.453113e-7,0.0002785252,0.0002611336,0.0006200649,0.0004037184,0.00004881088,0.9800304,0.00008847472,0.01826846],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1748738,"threshold_uncertainty_score":0.9992883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855423860242996,"score_gpt":0.2914745244652689,"score_spread":0.272920285862839,"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."}}