{"id":"W6912855209","doi":"10.5281/zenodo.7003363","title":"Copelatus masculinus Regimbart 1899","year":2022,"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":"Laurentian University","funders":"","keywords":"Instar; Dorsum; Larva; Margin (machine learning); Table (database); Capsule","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":[0.00008930206,0.0004442925,0.0001718854,0.001253171,0.0006653224,0.0002243624,0.000270659,0.000280335,0.009379338],"category_scores_gemma":[0.0003657101,0.0001412315,0.0000897151,0.000711411,0.0003367765,0.0005057013,0.0004115161,0.0002437029,0.001944062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003065907,"about_ca_system_score_gemma":0.0001496459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003316332,"about_ca_topic_score_gemma":0.006707573,"domain_scores_codex":[0.9999139,0.00001128198,0.000008071261,0.0000251677,0.00003154643,0.000009871524],"domain_scores_gemma":[0.9998735,0.00002963398,0.00005759624,0.000008526102,0.0000148982,0.00001582497],"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":[0.0008386273,0.0002007782,0.1412241,0.001458863,0.0001347055,0.006527073,0.003199122,0.001758571,0.127444,0.004814713,0.02178029,0.6906191],"study_design_scores_gemma":[0.00008529571,0.0004225445,0.6726913,0.0006551594,0.00006726558,0.00784731,0.001261388,0.0007623465,0.004470086,0.0008052387,0.3108959,0.0000361347],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7076816,0.01016847,0.003808757,0.0004401004,0.0006236348,0.0003367069,0.003034873,0.0002619881,0.2736439],"genre_scores_gemma":[0.9801792,0.002685469,0.002623598,0.0002919726,0.0002089368,0.0001397741,0.001174091,0.00001861709,0.0126783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009379338,"threshold_uncertainty_score":0.03137696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907772592049049,"score_gpt":0.1885538787175376,"score_spread":0.1694761527970472,"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."}}