{"id":"W6912623636","doi":"10.5281/zenodo.4911971","title":"Valgini Mulsant 1842","year":2006,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Spelling; Tribe; Key (lock); Review article","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":[0.0001039843,0.0003502544,0.0003294641,0.001223748,0.001655298,0.0007923929,0.0005718024,0.0003827731,0.009360196],"category_scores_gemma":[0.0003245395,0.0001254961,0.0001125615,0.0008028873,0.0007617231,0.0006301017,0.001012476,0.0004852867,0.002515717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007042409,"about_ca_system_score_gemma":0.0002583525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008819742,"about_ca_topic_score_gemma":0.02168604,"domain_scores_codex":[0.9998552,0.00001774712,0.000009184811,0.00004535077,0.00004675369,0.00002581319],"domain_scores_gemma":[0.9999216,0.00001306645,0.0000217554,0.00001033828,0.00002293548,0.00001028349],"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":[0.0002791663,0.00005780299,0.03570398,0.0005653718,0.0000589494,0.00213172,0.007263289,0.0004431725,0.01025058,0.01988125,0.03996891,0.8833958],"study_design_scores_gemma":[0.00001966525,0.00009047543,0.1151737,0.0003100178,0.00002990793,0.004220414,0.002526842,0.0001591441,0.0008894914,0.00228281,0.8742793,0.00001821833],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2545885,0.05251483,0.002278933,0.0007149774,0.001421056,0.0001853371,0.001582575,0.0004069112,0.6863068],"genre_scores_gemma":[0.9231296,0.005301008,0.002338785,0.0002839455,0.0001821799,0.00004968103,0.001621101,0.00006544183,0.06702838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009360196,"threshold_uncertainty_score":0.03131294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754702803370155,"score_gpt":0.2044634310302488,"score_spread":0.1769164029965473,"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."}}