{"id":"W6912201717","doi":"10.5281/zenodo.15801428","title":"Parapterogramma pollex Kuwahara, Marshall & Luk, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Data collection; Peck (Imperial); Etymology","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":[0.0001631847,0.001142681,0.0004720058,0.002847971,0.002570032,0.0008070551,0.0008684381,0.001145872,0.01098801],"category_scores_gemma":[0.0005890063,0.0003560783,0.0003478004,0.001660457,0.0008762873,0.002361224,0.000816568,0.0009263892,0.005369636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112173,"about_ca_system_score_gemma":0.0008036306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02564874,"about_ca_topic_score_gemma":0.05058497,"domain_scores_codex":[0.9997894,0.00001696614,0.00003162889,0.00007098605,0.00004749526,0.00004346845],"domain_scores_gemma":[0.9997713,0.00002893191,0.00009617143,0.00002858356,0.00005448808,0.00002053173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001120377,0.0003550291,0.07296573,0.002084727,0.0003446515,0.008340432,0.003552538,0.001140255,0.0276026,0.003711946,0.0644271,0.8143546],"study_design_scores_gemma":[0.0002498676,0.0003067282,0.5504492,0.001397274,0.000544162,0.02109474,0.005184157,0.0009939566,0.004098945,0.001114909,0.4144594,0.000106751],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5657013,0.03797388,0.01190978,0.002690387,0.003622981,0.003077014,0.02092158,0.001767336,0.3523358],"genre_scores_gemma":[0.9152473,0.0127649,0.01069508,0.002400222,0.0003631865,0.001037155,0.008561655,0.0001439309,0.04878645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02564874,"threshold_uncertainty_score":0.05099893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03544574189235854,"score_gpt":0.2360844492803935,"score_spread":0.200638707388035,"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."}}