{"id":"W6894103772","doi":"10.5281/zenodo.7860166","title":"Isoperla dicala Frison 1942","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; State (computer science); Current (fluid); Settlement (finance)","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":[0.0001515326,0.001273059,0.0003728603,0.002741475,0.002093464,0.0006416096,0.000807746,0.0008043292,0.01952629],"category_scores_gemma":[0.0003754647,0.0003442611,0.000266715,0.0007121063,0.0006145349,0.001090664,0.00107286,0.000636976,0.008394409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393957,"about_ca_system_score_gemma":0.0004490286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02127913,"about_ca_topic_score_gemma":0.03512411,"domain_scores_codex":[0.9997811,0.00002305304,0.00001734496,0.00008678348,0.00005519429,0.00003649832],"domain_scores_gemma":[0.9998609,0.00001900625,0.00005513646,0.00001201117,0.0000399843,0.00001292201],"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":[0.0003964016,0.0001498477,0.01768284,0.00136502,0.00009229614,0.003445871,0.001224746,0.0006710232,0.02165869,0.007186311,0.1088487,0.8372782],"study_design_scores_gemma":[0.00008848899,0.000170421,0.1142607,0.0007427727,0.0001070796,0.01053487,0.0006870088,0.0003398084,0.002220114,0.001008935,0.869803,0.00003687152],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.142225,0.07493011,0.005675557,0.00131852,0.0013518,0.000691072,0.004483544,0.0009087067,0.7684157],"genre_scores_gemma":[0.8527586,0.0182838,0.007482764,0.001700334,0.0006185184,0.0003411678,0.00371566,0.00009008832,0.115009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02127913,"threshold_uncertainty_score":0.06532186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746284098310715,"score_gpt":0.2120098696347947,"score_spread":0.1845470286516876,"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."}}