{"id":"W6949928548","doi":"10.5281/zenodo.6049204","title":"Merostenus (Merostenus) mexicanus Gibson, 2017, n. sp.","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Seta; Pedicel; Scape; Dorsum; Heteroptera; Keel","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":[0.000217523,0.0007822157,0.0004437928,0.001230205,0.001276664,0.0003096068,0.0005249635,0.0004934801,0.006692902],"category_scores_gemma":[0.0003462252,0.0003444995,0.0001907639,0.0009528656,0.0007833092,0.0007937809,0.0006413867,0.0004691223,0.002195435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003963881,"about_ca_system_score_gemma":0.0002499884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01093231,"about_ca_topic_score_gemma":0.04225888,"domain_scores_codex":[0.9998966,0.00001218973,0.000009505436,0.0000389618,0.00003005511,0.00001258904],"domain_scores_gemma":[0.999814,0.00002212248,0.000107402,0.0000140829,0.00002212664,0.00002027958],"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":[0.002192538,0.0002616311,0.1161478,0.002417486,0.0002584154,0.003494242,0.005221835,0.001212652,0.05825442,0.00442364,0.03379412,0.7723212],"study_design_scores_gemma":[0.0002458189,0.0004114427,0.8295515,0.0008565574,0.0003185034,0.005146647,0.002770111,0.0006093901,0.002101337,0.001657809,0.1562822,0.00004869106],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.748043,0.02450924,0.005844177,0.0009098525,0.0004911573,0.0004879862,0.004250671,0.0007613994,0.2147025],"genre_scores_gemma":[0.9790936,0.003936728,0.004152837,0.0003053728,0.0001553996,0.000205891,0.001267414,0.00004109527,0.01084181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01093231,"threshold_uncertainty_score":0.02239001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03294602887076442,"score_gpt":0.2504111731433828,"score_spread":0.2174651442726184,"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."}}