{"id":"W6945609213","doi":"10.25545/gnb97l/binluo","title":"Over29a.txt","year":2025,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint John Regional Hospital; 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":[0.0001362383,0.0003691502,0.0003873883,0.0001768632,0.0001373025,0.0001251596,0.001460465,0.0005470508,0.07074],"category_scores_gemma":[0.0002972878,0.0003441018,0.0001588346,0.0002075858,0.0001081875,0.0001053906,0.001163631,0.001108002,0.005004473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001092675,"about_ca_system_score_gemma":0.0004029017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004536988,"about_ca_topic_score_gemma":0.0001135782,"domain_scores_codex":[0.9979134,0.0000269566,0.0002982849,0.0006596543,0.0005650652,0.0005366026],"domain_scores_gemma":[0.9972978,0.0001473887,0.0001065815,0.002206136,0.00006180447,0.0001802746],"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":[0.0000241935,0.0001154588,0.000003219814,0.000882476,0.000119793,0.0002689694,0.000003609381,6.002819e-7,0.0001742974,0.00002215272,0.9978143,0.0005709381],"study_design_scores_gemma":[0.000458532,0.00001167979,4.180946e-7,0.000327457,0.00008999169,0.000007352083,0.0000474753,0.000006897741,0.001178489,0.00002197584,0.9975049,0.0003448369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001259913,0.00003708663,6.206529e-7,0.00003826248,0.000350892,0.00007300756,0.976948,0.00006548232,0.02247407],"genre_scores_gemma":[0.000004638059,0.0006707017,0.00002809563,0.000212916,0.0006507287,0.00001788483,0.9643653,0.00001337382,0.03403636],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06573553,"threshold_uncertainty_score":0.9999011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347720659786461,"score_gpt":0.2847046063937493,"score_spread":0.2712273997958847,"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."}}