{"id":"W7088315391","doi":"10.5281/zenodo.17325770","title":"Xylophanes tersa subsp. tersa","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biotope; Generalist and specialist species; Psychotria; Distribution (mathematics); Host (biology)","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":[0.0001162533,0.0007273483,0.0003430813,0.001451107,0.0009989595,0.0004237126,0.0004904666,0.0003301194,0.0220271],"category_scores_gemma":[0.0001821772,0.0001520648,0.0001362652,0.001027918,0.0002947581,0.0009726473,0.000775193,0.0004024948,0.007467532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005568967,"about_ca_system_score_gemma":0.0002106847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008139047,"about_ca_topic_score_gemma":0.01321147,"domain_scores_codex":[0.9998984,0.00000864648,0.000006549121,0.0000402691,0.00002643034,0.00001957361],"domain_scores_gemma":[0.9999197,0.0000109065,0.00002977183,0.000007051578,0.00002062524,0.00001198251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009515834,0.0002728829,0.03659168,0.001112259,0.0001315104,0.003955613,0.003384945,0.001066793,0.0985003,0.006092449,0.02931281,0.8186271],"study_design_scores_gemma":[0.000148358,0.0004596189,0.246831,0.0005755459,0.0001245085,0.006811774,0.002448752,0.0005512335,0.007749183,0.001642826,0.7326086,0.00004865279],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5035186,0.01747545,0.005292013,0.0007555266,0.00047805,0.0004978902,0.01064597,0.001044062,0.4602925],"genre_scores_gemma":[0.9068213,0.00635865,0.005002338,0.0006441722,0.0001434153,0.0001402746,0.007628913,0.00008365355,0.07317722],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0220271,"threshold_uncertainty_score":0.07368803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04467600337047926,"score_gpt":0.2358674904143577,"score_spread":0.1911914870438784,"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."}}