{"id":"W6894065294","doi":"10.5281/zenodo.8030449","title":"Roederiodes browni Sinclair 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Seta; Sternum; Proboscis; Holotype; Ridge","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":[0.0005948429,0.001362319,0.0008710959,0.002110965,0.001543159,0.001064105,0.00120452,0.001399631,0.01256632],"category_scores_gemma":[0.00118307,0.0005707491,0.0003909444,0.001653983,0.00099717,0.00215796,0.001022899,0.001421419,0.0152315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086011,"about_ca_system_score_gemma":0.0008672982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02362506,"about_ca_topic_score_gemma":0.03462135,"domain_scores_codex":[0.9995064,0.00004986189,0.00006367198,0.0001714958,0.0001349344,0.00007374438],"domain_scores_gemma":[0.9993581,0.00008529053,0.0002059867,0.00009102208,0.0001797152,0.00007982551],"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":[0.0009380119,0.0002840275,0.04723061,0.002032452,0.0002449953,0.002487228,0.002610239,0.001067822,0.01709541,0.002984161,0.1055779,0.8174471],"study_design_scores_gemma":[0.0002620318,0.0004041749,0.2383433,0.00277031,0.0006154474,0.01299259,0.003307432,0.001369505,0.003501253,0.001549849,0.7347221,0.0001620132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.266214,0.06201501,0.01999289,0.003063451,0.006630865,0.003534896,0.02568565,0.002944082,0.6099192],"genre_scores_gemma":[0.7862642,0.03143654,0.04495686,0.005041822,0.001370584,0.002926251,0.03197362,0.0004611084,0.09556895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02362506,"threshold_uncertainty_score":0.04697514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07406406777537018,"score_gpt":0.2099291317939241,"score_spread":0.1358650640185539,"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."}}