{"id":"W6948322727","doi":"10.5281/zenodo.10376311","title":"Orcevia keyserlingi Thorell 1890","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Object (grammar); Margin (machine learning)","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007001479,0.0001722875,0.0001655756,0.0002450337,0.00208816,0.0007222627,0.001296005,0.0001109061,0.04997468],"category_scores_gemma":[0.000645535,0.0001717847,0.00008971812,0.001020088,0.0001588121,0.0001590592,0.001510495,0.0004816335,0.06168961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009948594,"about_ca_system_score_gemma":0.000005929834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001354219,"about_ca_topic_score_gemma":1.973111e-7,"domain_scores_codex":[0.9978189,0.0001311115,0.0002584807,0.00050403,0.0006092167,0.0006781971],"domain_scores_gemma":[0.9986076,0.00005009737,0.00006742746,0.0006105212,0.0003864153,0.0002779292],"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":[0.00007676965,0.0001598976,0.00001720736,0.0003149328,0.00009092157,0.0001347653,0.00127807,0.0001034572,0.1630857,0.00310173,0.6761863,0.1554502],"study_design_scores_gemma":[0.0004319439,0.00006395362,0.0002133415,0.00005139253,0.000009068304,0.00004985982,0.0004945628,0.0009423115,0.01232456,0.0002933996,0.9849089,0.0002166935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.183089,0.0001204841,0.0002532756,0.001438626,0.0001399056,0.0002531371,0.0002573645,0.004266926,0.8101813],"genre_scores_gemma":[0.9664662,0.0002473715,0.00007493686,0.000081422,0.0005651508,7.685983e-8,0.002325748,0.002152843,0.02808625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7833772,"threshold_uncertainty_score":0.999211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0435595431373439,"score_gpt":0.2631000061272052,"score_spread":0.2195404629898614,"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."}}