{"id":"W6930553112","doi":"10.5281/zenodo.14705213","title":"Paracricotopus mozleyi Steiner 1983","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Seta; Instar; Larva; Caudata; Pupa; Salamander","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":[0.00007231734,0.0006579094,0.0001794215,0.001301982,0.0005953583,0.0001984809,0.0002482438,0.0003211474,0.008710355],"category_scores_gemma":[0.0002133655,0.0002155084,0.0001396905,0.000690524,0.0002394475,0.0005256675,0.000349647,0.0002888735,0.002902755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004046417,"about_ca_system_score_gemma":0.0001891144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005772576,"about_ca_topic_score_gemma":0.01742122,"domain_scores_codex":[0.9999093,0.000005767831,0.00000871454,0.00003329833,0.0000271795,0.00001572054],"domain_scores_gemma":[0.999848,0.00001483011,0.00007521438,0.00001851089,0.00002422728,0.00001922384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001989768,0.0002561384,0.2698568,0.001466296,0.0001722526,0.008710322,0.002235917,0.000920031,0.3636296,0.003143433,0.02747182,0.3201476],"study_design_scores_gemma":[0.00006443275,0.0007299904,0.9357048,0.0002264007,0.00006237573,0.007755974,0.001101838,0.0003543525,0.00839312,0.0004524999,0.04512704,0.00002714844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9029703,0.003809268,0.001285069,0.0002607653,0.00008562791,0.0002583772,0.005713994,0.0001515397,0.08546519],"genre_scores_gemma":[0.982981,0.001882897,0.002084896,0.0001868728,0.00004609274,0.00008034762,0.004493477,0.00001224532,0.008232301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008710355,"threshold_uncertainty_score":0.02913904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138924508650018,"score_gpt":0.2234696577613512,"score_spread":0.2095772068963494,"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."}}