{"id":"W6949517276","doi":"10.5281/zenodo.14597159","title":"Erythmelus (Erythmelus) tingitiphagus","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hymenoptera taxonomy and phylogeny","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Hevea; Distribution (mathematics); Hevea brasiliensis; Amazon basin","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":[],"consensus_categories":[],"category_scores_codex":[0.00008962753,0.0004207164,0.0002479869,0.001166407,0.0005181822,0.0001939047,0.0002095248,0.0002387733,0.009370348],"category_scores_gemma":[0.0002025226,0.0001470741,0.0001186856,0.0005173706,0.0002656448,0.0004434211,0.0004623688,0.0003004929,0.002887271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000316067,"about_ca_system_score_gemma":0.0001305509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003492012,"about_ca_topic_score_gemma":0.008461658,"domain_scores_codex":[0.9999055,0.0000145137,0.00001139869,0.00002990185,0.0000289358,0.000009709894],"domain_scores_gemma":[0.9999102,0.00001543182,0.00003164828,0.000008305406,0.00001915723,0.0000151741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001764121,0.0002465543,0.06516265,0.00205443,0.0001456045,0.005656435,0.003526757,0.0005862483,0.3231769,0.004554367,0.01530803,0.5778179],"study_design_scores_gemma":[0.00007285952,0.0003632819,0.7724632,0.000480708,0.0001282154,0.009685088,0.001803996,0.0004284325,0.01230866,0.0007548407,0.2014675,0.00004320111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7213986,0.008331881,0.005935698,0.0005715626,0.000260282,0.0002914847,0.005349334,0.000497605,0.2573636],"genre_scores_gemma":[0.9706595,0.001851287,0.00358745,0.0003063541,0.00006375934,0.00008143201,0.002078933,0.00003281036,0.02133853],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009370348,"threshold_uncertainty_score":0.03134698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.035287360284653,"score_gpt":0.2184001338312969,"score_spread":0.1831127735466438,"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."}}