{"id":"W7093344680","doi":"10.5281/zenodo.17427430","title":"Phyllium hennemanni Cumming, Foley, Le Tirant & Buscher 2025, sp. nov.","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neurology and Historical Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"","keywords":"Holotype; Ovipositor; Orange (colour); Black spot; Ficus","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":[0.0004098932,0.001307144,0.0006650565,0.001598882,0.001801161,0.0008504689,0.001296654,0.002466401,0.01034173],"category_scores_gemma":[0.001480325,0.000510691,0.0003222881,0.001331608,0.000768245,0.002539644,0.001149481,0.001273385,0.008273096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002005128,"about_ca_system_score_gemma":0.001092178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973463,"about_ca_topic_score_gemma":0.02580399,"domain_scores_codex":[0.9996825,0.00003461848,0.00003782602,0.0001085133,0.0000721185,0.00006440992],"domain_scores_gemma":[0.9994577,0.0001000865,0.0001886324,0.00007757327,0.000120463,0.00005566204],"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":[0.00130661,0.0002675618,0.05011221,0.003689644,0.0002254599,0.01226245,0.003472055,0.003272609,0.05918111,0.005527167,0.1217587,0.7389244],"study_design_scores_gemma":[0.0003579906,0.0007044387,0.20216,0.00321493,0.0006193884,0.01952304,0.002455357,0.001793839,0.009057612,0.001877263,0.7581008,0.0001353811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3720433,0.09037582,0.02459355,0.008986725,0.007078772,0.002959728,0.02693174,0.003331901,0.4636984],"genre_scores_gemma":[0.8824342,0.02085787,0.01938567,0.006347653,0.0009441147,0.001421746,0.00941062,0.0002065536,0.05899166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01973463,"threshold_uncertainty_score":0.03923953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580784855937742,"score_gpt":0.2663903292497352,"score_spread":0.2205824806903578,"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."}}