{"id":"W6949075011","doi":"10.5281/zenodo.15020972","title":"Euura myosotidis","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Type (biology); Nomenclature; Taxonomy (biology); Czech","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00006304141,0.0005070959,0.0002082735,0.00140204,0.0006607097,0.0003036504,0.0003567026,0.0003389809,0.03175258],"category_scores_gemma":[0.0002152901,0.0001659014,0.0001574713,0.0006586045,0.0003283663,0.000703212,0.0007135716,0.0002772535,0.008934526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004625637,"about_ca_system_score_gemma":0.0001474924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002653774,"about_ca_topic_score_gemma":0.005248123,"domain_scores_codex":[0.9999064,0.00001340418,0.00001163081,0.00003109315,0.00002077961,0.0000166323],"domain_scores_gemma":[0.9999396,0.000006222152,0.00002865049,0.00000717703,0.00001203415,0.000006349164],"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":[0.0002810012,0.00005862745,0.02694912,0.001065314,0.00005083353,0.001492633,0.00152009,0.0005826507,0.02283177,0.006025327,0.03167923,0.9074634],"study_design_scores_gemma":[0.00003506272,0.0001680039,0.228114,0.0005799693,0.00005196588,0.005412527,0.001116688,0.0003487761,0.001600606,0.00124309,0.7613066,0.00002268418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2315657,0.02262369,0.004726911,0.0006318357,0.001078038,0.0002961852,0.004441318,0.0007220242,0.7339143],"genre_scores_gemma":[0.8708066,0.007419817,0.003825307,0.000496281,0.0003455361,0.000195124,0.003821402,0.00009251325,0.1129973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03175258,"threshold_uncertainty_score":0.106223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971060038186675,"score_gpt":0.2443208020959585,"score_spread":0.2146102017140917,"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."}}