{"id":"W7093327607","doi":"10.5281/zenodo.17427426","title":"Phyllium cayabyabi Cumming, Foley, Hennemann, Le Tirant & Buscher 2025, sp. nov.","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cross-Border Cooperation and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"","keywords":"Holotype; Context (archaeology); Black spot","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":[0.0002582232,0.001225518,0.0005954096,0.001665217,0.002163943,0.0008958021,0.001050263,0.001679712,0.00996229],"category_scores_gemma":[0.0008798154,0.000521341,0.0002778174,0.001452835,0.0006819919,0.001655444,0.001048775,0.001639501,0.006631528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001998324,"about_ca_system_score_gemma":0.001362974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04883956,"about_ca_topic_score_gemma":0.07028292,"domain_scores_codex":[0.9997793,0.00001789632,0.00002334857,0.0000653399,0.00005536986,0.00005873017],"domain_scores_gemma":[0.9996394,0.00004757462,0.0001254103,0.00003081025,0.0000861024,0.00007063778],"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":[0.00143332,0.0004090541,0.07210371,0.00432053,0.0002407275,0.01110449,0.004225687,0.002854244,0.07422847,0.004309543,0.1322758,0.6924945],"study_design_scores_gemma":[0.0004144159,0.0004559542,0.3446525,0.003981527,0.0004909059,0.01612799,0.003298423,0.001727289,0.006306637,0.001079356,0.6213483,0.0001166989],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4077359,0.145793,0.01013726,0.006179756,0.006475379,0.0028043,0.02344983,0.002061433,0.3953631],"genre_scores_gemma":[0.8884841,0.02544689,0.0138448,0.005197582,0.0006671699,0.001323217,0.009668493,0.0002142144,0.05515365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04883956,"threshold_uncertainty_score":0.09711057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03334902358907104,"score_gpt":0.3133675154146733,"score_spread":0.2800184918256023,"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."}}