{"id":"W6893190442","doi":"10.5281/zenodo.14200264","title":"Sialis Latreille 1802","year":2022,"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":"Nearctic ecozone; Genus; Western Palaearctic; 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":[0.000156699,0.00111766,0.0004800407,0.002253946,0.001672987,0.0006996101,0.0009374942,0.0007614931,0.02373019],"category_scores_gemma":[0.0004939957,0.0002283717,0.0002353868,0.0008522666,0.0005398482,0.001643518,0.001564805,0.001001743,0.007513684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008174832,"about_ca_system_score_gemma":0.0007712881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01755694,"about_ca_topic_score_gemma":0.03386739,"domain_scores_codex":[0.9996785,0.0000332466,0.00002426979,0.00007669809,0.0001389264,0.00004831621],"domain_scores_gemma":[0.9997835,0.0000201377,0.00006472518,0.000014983,0.00009024591,0.00002647576],"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":[0.0004185885,0.0001400719,0.04056189,0.0009609878,0.00008788588,0.003323921,0.002061475,0.0009633125,0.03970568,0.01276261,0.076438,0.8225756],"study_design_scores_gemma":[0.00005015693,0.0001142853,0.071522,0.0007375591,0.00006571354,0.007468278,0.001458028,0.0005847111,0.002595805,0.002410683,0.9129351,0.00005764115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1222445,0.02955733,0.005470652,0.001589936,0.001669484,0.0004660705,0.004361623,0.00129,0.8333504],"genre_scores_gemma":[0.8655547,0.008372347,0.006944197,0.001662826,0.0005277692,0.0003016988,0.005043353,0.000141139,0.1114518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02373019,"threshold_uncertainty_score":0.0793854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03408069389775475,"score_gpt":0.2056960822960783,"score_spread":0.1716153883983235,"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."}}