{"id":"W6968252562","doi":"10.5281/zenodo.12716292","title":"Eurytoma verticillata Fabricius 1798","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":"Czech; Distribution (mathematics); Taxonomy (biology); Life history","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":[0.0001438882,0.000615407,0.0001943836,0.0009458858,0.000700991,0.0003566951,0.000344152,0.0002372914,0.002830537],"category_scores_gemma":[0.0002322497,0.0001090841,0.0001086642,0.0005557889,0.0003096549,0.0006065929,0.0005304458,0.0002489207,0.0008330914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002865108,"about_ca_system_score_gemma":0.0001222531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004520187,"about_ca_topic_score_gemma":0.006768687,"domain_scores_codex":[0.9998913,0.000008108581,0.00001333784,0.0000355929,0.00002603096,0.0000256182],"domain_scores_gemma":[0.9999096,0.00001384318,0.00004378098,0.000008047453,0.00001564687,0.000009083788],"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":[0.001423009,0.0001860245,0.2637586,0.0007877566,0.0001503122,0.008403054,0.00439119,0.001610462,0.139827,0.002609493,0.006531052,0.5703221],"study_design_scores_gemma":[0.00004367903,0.0001453976,0.9160624,0.0001766649,0.0000509563,0.005115774,0.0007275171,0.0002591818,0.002535856,0.0003558078,0.07451134,0.00001542748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8706508,0.006348817,0.001275638,0.0001132717,0.0001606395,0.0001365172,0.001223519,0.00008427874,0.1200065],"genre_scores_gemma":[0.9871084,0.001808985,0.0009289824,0.00006559706,0.00005816207,0.00004619861,0.001488702,0.00001171085,0.008483237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004520187,"threshold_uncertainty_score":0.009469092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07054938185153607,"score_gpt":0.2286645885833236,"score_spread":0.1581152067317875,"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."}}