{"id":"W6969092912","doi":"10.5281/zenodo.8054274","title":"Paranemoura perfecta","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":"Apex (geometry); Sternum; Dorsum; Holotype; Upper abdomen","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":[0.0001487436,0.00109477,0.0004768814,0.001650694,0.002025092,0.0007290026,0.0008531607,0.000518197,0.05243107],"category_scores_gemma":[0.0003949207,0.000374342,0.0003070851,0.0008971637,0.0006051989,0.001223553,0.00135002,0.001031594,0.02465523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008201614,"about_ca_system_score_gemma":0.0008271099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.029652,"about_ca_topic_score_gemma":0.07335396,"domain_scores_codex":[0.9997925,0.00001923932,0.00001804618,0.0000602751,0.00007130088,0.00003866158],"domain_scores_gemma":[0.9997944,0.00001706835,0.00005704435,0.00003170198,0.00007566113,0.00002410396],"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":[0.0002286962,0.0001019402,0.01091933,0.001235024,0.00004533364,0.001722247,0.001077675,0.0005408856,0.008436847,0.009228819,0.1076032,0.85886],"study_design_scores_gemma":[0.00002521446,0.00005741441,0.07070921,0.0004089427,0.00004691049,0.003889228,0.0005539162,0.0002111742,0.001010565,0.001723602,0.9213318,0.00003206268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04372936,0.01398314,0.005957081,0.001007684,0.0009353677,0.00082664,0.01256409,0.001631152,0.9193654],"genre_scores_gemma":[0.6757103,0.009978837,0.01700679,0.0015357,0.0003744133,0.0004355714,0.01493202,0.0003965037,0.2796299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05243107,"threshold_uncertainty_score":0.1753994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02878289738561927,"score_gpt":0.209206720477538,"score_spread":0.1804238230919187,"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."}}