{"id":"W6967993682","doi":"10.5281/zenodo.15801448","title":"Pseudopterogramma kasut Kuwahara, Marshall & Luk, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Orthoptera Research and Taxonomy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Bristle; Sternum; Seta; Tibia; Dorsum; National park","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":[0.0001343472,0.001569299,0.0004893445,0.002616339,0.002672462,0.0007330019,0.0008126817,0.001279903,0.01199497],"category_scores_gemma":[0.0004968238,0.0004727618,0.0004066298,0.002662552,0.001171888,0.002698699,0.001076672,0.001329512,0.008243704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009485327,"about_ca_system_score_gemma":0.001098871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01611468,"about_ca_topic_score_gemma":0.03181664,"domain_scores_codex":[0.9997477,0.00002029805,0.00005052028,0.00008855304,0.00006058971,0.00003232959],"domain_scores_gemma":[0.9997181,0.000038585,0.000107132,0.00004241202,0.00005849355,0.00003523162],"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":[0.001384408,0.0002931962,0.04062957,0.003461691,0.0002752031,0.0147147,0.005412027,0.002122104,0.03383647,0.005315818,0.08372208,0.8088328],"study_design_scores_gemma":[0.000232804,0.0004027141,0.3103389,0.00178051,0.00054194,0.0317151,0.006753666,0.001353544,0.003027464,0.002302531,0.6413496,0.0002013003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4011083,0.04774006,0.01471874,0.003005427,0.005953322,0.003416455,0.02966568,0.003545607,0.4908465],"genre_scores_gemma":[0.881197,0.02179417,0.02037966,0.003094758,0.0006445791,0.001983507,0.01595963,0.0003255863,0.05462115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01611468,"threshold_uncertainty_score":0.04012716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600320736462789,"score_gpt":0.2343425889997293,"score_spread":0.1983393816351014,"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."}}