{"id":"W6949640549","doi":"10.5281/zenodo.14597283","title":"Stephanocampta Mathot 1966","year":2024,"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":"Natural Resources Canada","funders":"","keywords":"Seta; Reticulate; Lamina; Type (biology); Wing","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":[0.00005211945,0.0005076567,0.0001842376,0.001134405,0.00100837,0.0002591017,0.0003092327,0.0002670471,0.006908731],"category_scores_gemma":[0.0002095108,0.0002128837,0.000124912,0.0005162654,0.0003154432,0.0006729201,0.0006420836,0.0003241079,0.001574311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003718729,"about_ca_system_score_gemma":0.0003339572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004751559,"about_ca_topic_score_gemma":0.0103925,"domain_scores_codex":[0.9999343,0.000004438693,0.000005252051,0.00002305507,0.00002117092,0.00001172931],"domain_scores_gemma":[0.9999381,0.000009467542,0.00002732552,0.0000060742,0.00001047139,0.000008513303],"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":[0.0004367571,0.0001430153,0.04919007,0.00118767,0.0001230246,0.009200065,0.001980005,0.002341059,0.1098558,0.01591246,0.01883781,0.7907922],"study_design_scores_gemma":[0.0001140662,0.0003433698,0.4903846,0.0007538341,0.0001855322,0.0301081,0.001386591,0.001651024,0.01412591,0.00527346,0.4555962,0.00007736241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6809686,0.01466058,0.005250882,0.0004668076,0.0003891528,0.0003974765,0.002254862,0.0002550149,0.2953566],"genre_scores_gemma":[0.9697251,0.003550594,0.00400961,0.0001772872,0.00007857424,0.00007840522,0.0007319296,0.00001381137,0.02163462],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006908731,"threshold_uncertainty_score":0.02311206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226536485842438,"score_gpt":0.2087147250250747,"score_spread":0.1864493601666504,"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."}}