{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001304258,0.004348579,0.002328593,0.004488297,0.001203882,0.005039055,0.004166634,0.002988268,0.2482633],"category_scores_gemma":[0.006307529,0.001211843,0.001996958,0.008628362,0.0007061199,0.002801079,0.003152082,0.00259095,0.3827372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742803,"about_ca_system_score_gemma":0.002271135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01720362,"about_ca_topic_score_gemma":0.02458836,"domain_scores_codex":[0.9985604,0.0002393989,0.0001369483,0.0005178254,0.0003102908,0.0002351717],"domain_scores_gemma":[0.9976398,0.0006593608,0.0001731471,0.0007465515,0.0004564429,0.0003246675],"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":[0.00004372703,0.00001196747,0.00009594855,0.0003270619,0.00001441274,0.00000751535,0.000009910608,0.0001284695,0.00007717414,0.0002900553,0.9979709,0.001022936],"study_design_scores_gemma":[0.0001952075,0.00001475646,0.0006463572,0.0001229293,0.00001677784,0.00002057819,0.00003125951,0.0003642489,0.0003361671,0.001626739,0.9966042,0.00002075702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004319397,0.00004961829,0.00005949591,0.00006052154,0.00002764532,0.000008328338,0.997454,0.001237689,0.0010596],"genre_scores_gemma":[0.0001746605,0.00004921375,0.0001906044,0.00006008882,0.000008675955,0.00004221154,0.9983171,0.0003611384,0.0007962564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7517367,"threshold_uncertainty_score":0.8305234,"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."}}