{"id":"W6912120892","doi":"10.5281/zenodo.15391706","title":"Aphanocephalus queenslandicus Szawaryn, 2025, sp. nov.","year":2025,"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":"Rainforest; Cape; Litter; Vegetation (pathology); National park","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":[0.0002901191,0.001167158,0.0005688355,0.002802302,0.001891245,0.0005930405,0.0007475027,0.000924025,0.01323829],"category_scores_gemma":[0.0006937727,0.000444441,0.0002230345,0.001797326,0.0009494292,0.001777669,0.0008635712,0.0009263376,0.006103572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002232237,"about_ca_system_score_gemma":0.001303712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1003753,"about_ca_topic_score_gemma":0.1176994,"domain_scores_codex":[0.9997348,0.00001738611,0.00002942928,0.00008905053,0.00009195822,0.00003724032],"domain_scores_gemma":[0.9996241,0.00005852035,0.0001202182,0.00003669749,0.00009988777,0.00006051749],"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":[0.001091648,0.0003556274,0.112649,0.002583386,0.0002090222,0.01021601,0.007580404,0.002711246,0.04011065,0.002953738,0.06901787,0.7505214],"study_design_scores_gemma":[0.0002811405,0.000395144,0.8292277,0.001058636,0.0001832305,0.01244516,0.003155273,0.0009764573,0.001373284,0.001044016,0.1497891,0.00007088945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6136433,0.03031654,0.006382097,0.003256669,0.001979935,0.002050431,0.0183556,0.001464454,0.322551],"genre_scores_gemma":[0.8872361,0.01161152,0.00994097,0.002297192,0.0003855374,0.0007563719,0.0101183,0.00007709255,0.07757687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1003753,"threshold_uncertainty_score":0.1995822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467657556893995,"score_gpt":0.235945725712378,"score_spread":0.2212691501434381,"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."}}