{"id":"W6931936174","doi":"10.5281/zenodo.8030463","title":"Roederiodes costaricensis 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":"Wing; Seta; Holotype; Proboscis; Ridge","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":[0.0004183683,0.001207574,0.0006383209,0.002264238,0.001922516,0.001105477,0.001094889,0.001178765,0.009739801],"category_scores_gemma":[0.000973082,0.0004185981,0.0003229881,0.00229165,0.0009103995,0.001305096,0.000817616,0.001133316,0.007395596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438549,"about_ca_system_score_gemma":0.001037892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05501272,"about_ca_topic_score_gemma":0.1150961,"domain_scores_codex":[0.9996458,0.00003470874,0.00004882475,0.0001158966,0.0001011552,0.00005352249],"domain_scores_gemma":[0.9994295,0.00007903136,0.0001752538,0.00008392586,0.0001696033,0.00006261861],"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":[0.0004952275,0.0002134491,0.0711036,0.002313158,0.0002998637,0.003489848,0.004621786,0.001697392,0.01266652,0.004060103,0.1084822,0.7905568],"study_design_scores_gemma":[0.0001479379,0.0001967183,0.3247094,0.002306876,0.0004956125,0.01184134,0.003746439,0.001575306,0.001902958,0.001252712,0.6517013,0.0001233879],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2655177,0.07050358,0.01325206,0.002494777,0.002763313,0.003282313,0.02573322,0.002891032,0.613562],"genre_scores_gemma":[0.8405178,0.02793146,0.03356573,0.004149822,0.0008883195,0.0026071,0.02400863,0.0003123906,0.06601872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05501272,"threshold_uncertainty_score":0.1093851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07066857601602403,"score_gpt":0.2094542099444819,"score_spread":0.1387856339284578,"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."}}