{"id":"W6949668103","doi":"10.5281/zenodo.3665074","title":"Rudolfina exuberata Paiero & Marshall 2020, sp. nov.","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Maya; Cave; Mesoamerica; Poor relief; Latin Americans","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":[0.0003260737,0.001651647,0.0006206429,0.002500835,0.001747791,0.0008535726,0.001456768,0.001121018,0.01455536],"category_scores_gemma":[0.001055189,0.0004524478,0.0002873802,0.001388908,0.0008537222,0.002004047,0.001179254,0.001057241,0.008739748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321181,"about_ca_system_score_gemma":0.0006631027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03775321,"about_ca_topic_score_gemma":0.07614239,"domain_scores_codex":[0.9997491,0.00002027541,0.00002436425,0.0001037146,0.00005454369,0.00004801567],"domain_scores_gemma":[0.9996414,0.00006893175,0.0001173996,0.00004706693,0.00008451849,0.00004065782],"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":[0.0003630559,0.0001775527,0.02745797,0.0008539311,0.0001095687,0.004086846,0.001553557,0.0009806951,0.009211035,0.001571513,0.03673581,0.9168985],"study_design_scores_gemma":[0.0002256173,0.0002957739,0.2852771,0.001578765,0.0004014496,0.01685619,0.002337415,0.000980598,0.00360691,0.001359208,0.6869756,0.0001053324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2928286,0.04500281,0.0121337,0.002136796,0.002459127,0.002495779,0.01714217,0.002402416,0.6233985],"genre_scores_gemma":[0.8029953,0.02268445,0.02598193,0.003259545,0.0009082581,0.001908428,0.0137802,0.0003195729,0.1281622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03775321,"threshold_uncertainty_score":0.07506692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03120542624311624,"score_gpt":0.2281709109066873,"score_spread":0.1969654846635711,"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."}}