{"id":"W6893942138","doi":"10.5281/zenodo.7310663","title":"Nikara cupreomicans Saldaitis & Volynkin & Speidel & Zahiri 2022, comb. nov.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Orthoptera Research and Taxonomy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Holotype; Type locality; Ping (video games); Locality","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":[0.000300826,0.001548516,0.0005256487,0.002481469,0.002374092,0.0009719859,0.001175611,0.0006248242,0.01491025],"category_scores_gemma":[0.0007814919,0.0003415502,0.000293751,0.001372861,0.0008857771,0.002701378,0.001601276,0.0009998917,0.008648924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190986,"about_ca_system_score_gemma":0.001604652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849853,"about_ca_topic_score_gemma":0.02815709,"domain_scores_codex":[0.9996817,0.00002266872,0.00004151695,0.0001045663,0.0001096016,0.00003996356],"domain_scores_gemma":[0.9996659,0.00003097729,0.00008993735,0.00004879617,0.0001330731,0.00003132087],"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":[0.000602497,0.0001280597,0.01696471,0.001529148,0.0001442818,0.004219622,0.001928152,0.00154449,0.0197363,0.007680164,0.07149855,0.874024],"study_design_scores_gemma":[0.0001089102,0.0001558757,0.0712453,0.0007959623,0.0002324943,0.008801942,0.001816267,0.000711799,0.003685469,0.001483409,0.9108917,0.00007100229],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2198119,0.06202919,0.01672144,0.002296635,0.004850095,0.002379888,0.01776347,0.001197153,0.6729502],"genre_scores_gemma":[0.7172942,0.0386446,0.02514547,0.002279884,0.001078094,0.002025401,0.02578667,0.0002255853,0.1875202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01849853,"threshold_uncertainty_score":0.04987973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152543597961838,"score_gpt":0.2073532800198196,"score_spread":0.1758278440402012,"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."}}