{"id":"W6950268418","doi":"10.5281/zenodo.6059913","title":"Microctonus aethiops","year":2016,"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":"Distribution (mathematics); Range (aeronautics); Balkan peninsula; China; Czech","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":[0.00007934993,0.0003861749,0.0001282333,0.00106816,0.0009020173,0.0002804946,0.0002148244,0.0002248874,0.008273264],"category_scores_gemma":[0.0002382549,0.0001501864,0.00009783372,0.0004821451,0.000328469,0.0006254421,0.00064336,0.0002987034,0.002192035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017492,"about_ca_system_score_gemma":0.0002222474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009168292,"about_ca_topic_score_gemma":0.02165968,"domain_scores_codex":[0.999897,0.000007172208,0.000009083744,0.00003320826,0.00003854424,0.00001499089],"domain_scores_gemma":[0.9998993,0.00001716118,0.00003440892,0.000007138106,0.00003004304,0.00001187975],"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":[0.0005404975,0.0001394021,0.1556763,0.0008729582,0.00008130849,0.002323062,0.002170656,0.001226581,0.0977523,0.002801497,0.01596296,0.7204524],"study_design_scores_gemma":[0.00003598836,0.0001680942,0.8260239,0.0003001712,0.00006815843,0.003855968,0.001190769,0.0006996127,0.006299712,0.0009840368,0.1603524,0.0000211085],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7428763,0.007386396,0.002689893,0.000371952,0.0002261406,0.0002084294,0.003417453,0.0002410799,0.2425823],"genre_scores_gemma":[0.9714862,0.001976173,0.002006627,0.0002478724,0.00006015204,0.00005515273,0.001489172,0.00001668732,0.02266201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009168292,"threshold_uncertainty_score":0.02767688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03445248243225296,"score_gpt":0.2109684802273204,"score_spread":0.1765159977950675,"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."}}