{"id":"W6912595625","doi":"10.5281/zenodo.6122762","title":"Brachygluta Thomson 1859","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Nearctic ecozone; French horn; Genus; Taxonomy (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008059241,0.000663006,0.0003934838,0.001295064,0.001628439,0.000513848,0.0004705168,0.0004173321,0.0197606],"category_scores_gemma":[0.0003705713,0.0002570518,0.000185259,0.0007010277,0.0005240779,0.0009676182,0.00104126,0.0004638214,0.007816698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006488824,"about_ca_system_score_gemma":0.0002464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003531,"about_ca_topic_score_gemma":0.02019484,"domain_scores_codex":[0.9998541,0.00001522493,0.000009766191,0.00005666225,0.00004634125,0.00001786177],"domain_scores_gemma":[0.9999101,0.00001333916,0.00003709761,0.000007737496,0.00001757587,0.00001419803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003291792,0.00008650905,0.02719864,0.00108847,0.00007825249,0.003744091,0.002221018,0.0005220479,0.02974601,0.0075615,0.07577237,0.8516519],"study_design_scores_gemma":[0.00005174429,0.0002390433,0.223712,0.0005097667,0.0001130999,0.01352551,0.001028333,0.000309433,0.001613686,0.001452437,0.7574121,0.0000327932],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1977567,0.03364422,0.005782814,0.001170747,0.001333712,0.0003977653,0.004928902,0.0009591,0.754026],"genre_scores_gemma":[0.8817672,0.01339183,0.00400069,0.001373095,0.0005833198,0.0001484582,0.002556774,0.00008386585,0.09609468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0197606,"threshold_uncertainty_score":0.06610584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06793855749494529,"score_gpt":0.2305092912740519,"score_spread":0.1625707337791066,"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."}}