{"id":"W6950309322","doi":"10.5281/zenodo.5184910","title":"Augochlora (Augochlora) buscki Cockerell","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research on scale insects","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Holotype; Ridiculous; Paratype; Taxonomy (biology)","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":[0.00005748487,0.0003121239,0.000130043,0.0006566331,0.0007351019,0.0001971416,0.0002133545,0.0002104002,0.008645813],"category_scores_gemma":[0.0001240071,0.0001048898,0.0000813094,0.000324383,0.0002709533,0.0001910252,0.0004714841,0.0002687151,0.001694571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000511916,"about_ca_system_score_gemma":0.0001727741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01715938,"about_ca_topic_score_gemma":0.07624785,"domain_scores_codex":[0.9999381,0.000005296577,0.000003868504,0.00002170178,0.00001450825,0.00001652717],"domain_scores_gemma":[0.9999032,0.000007652245,0.00003678707,0.000008003798,0.0000235244,0.00002085777],"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":[0.001437125,0.0001534424,0.3267125,0.001078712,0.0000806216,0.002825072,0.002319397,0.000522823,0.2769662,0.002644486,0.01829186,0.3669678],"study_design_scores_gemma":[0.00002223124,0.0001517375,0.9208062,0.0001145725,0.00003046398,0.001444069,0.0007716817,0.0001011323,0.003218364,0.000167202,0.07315873,0.00001355073],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151425,0.001941515,0.000874804,0.0001772859,0.00007465498,0.0001166334,0.002855269,0.0001881283,0.07862919],"genre_scores_gemma":[0.9837143,0.0006051174,0.001469326,0.0001501069,0.0000224492,0.00004929749,0.001696419,0.00001533365,0.01227774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01715938,"threshold_uncertainty_score":0.03411901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06443016261792797,"score_gpt":0.2327792395537131,"score_spread":0.1683490769357851,"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."}}