{"id":"W6968790584","doi":"10.5281/zenodo.5698087","title":"Megaxyela tricolor","year":2017,"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":"Orange (colour); Taxonomy (biology); Apex (geometry); Genus","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":[0.00006547956,0.0003904735,0.0001558958,0.001129376,0.000587333,0.0002993793,0.0002402508,0.0001705962,0.01025557],"category_scores_gemma":[0.0001667377,0.000206906,0.00007499712,0.0005025242,0.0002089968,0.0006139033,0.0005390486,0.000276752,0.003261691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003331085,"about_ca_system_score_gemma":0.0001510356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007648049,"about_ca_topic_score_gemma":0.02160425,"domain_scores_codex":[0.9999402,0.000007662826,0.000007138466,0.00001888017,0.0000165726,0.00000962616],"domain_scores_gemma":[0.9999069,0.00001497508,0.00003350872,0.000009003615,0.00002418858,0.00001138463],"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":[0.0007475532,0.000186582,0.09215059,0.001491776,0.00008543258,0.005828314,0.00325879,0.0008756138,0.1009814,0.006286117,0.04496128,0.7431466],"study_design_scores_gemma":[0.0000796714,0.0002463709,0.5253655,0.0008321955,0.00009366222,0.0169107,0.002767985,0.0006697661,0.009557287,0.00124108,0.4421914,0.00004442623],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5584618,0.01747825,0.002834971,0.0005274438,0.0003201239,0.0001985283,0.004621023,0.0004967049,0.4150611],"genre_scores_gemma":[0.9554773,0.005329381,0.002112136,0.000459342,0.00006956489,0.00006831098,0.001963349,0.00004475771,0.03447582],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01025557,"threshold_uncertainty_score":0.03430831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0546461572921709,"score_gpt":0.2375953289124483,"score_spread":0.1829491716202774,"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."}}