{"id":"W6949301274","doi":"10.5281/zenodo.13165171","title":"Urytalpa nigrita","year":2020,"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":"","funders":"","keywords":"Apex (geometry); Basal (medicine); Similarity (geometry); Terminalia; Range (aeronautics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000978437,0.0004227059,0.0003337573,0.00103451,0.000773557,0.0002214162,0.0004791278,0.000252106,0.006468651],"category_scores_gemma":[0.0002577018,0.0001729452,0.0001452216,0.0004239296,0.0002638469,0.0005683551,0.0006417429,0.0002547855,0.002634034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002081199,"about_ca_system_score_gemma":0.0001022329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002604604,"about_ca_topic_score_gemma":0.007741645,"domain_scores_codex":[0.999902,0.000009631816,0.000008889609,0.00004467302,0.00002070311,0.00001402549],"domain_scores_gemma":[0.9999213,0.0000134981,0.00002399953,0.00001329862,0.00001977339,0.000008103181],"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":[0.000573396,0.0002429585,0.04719497,0.0009885852,0.00009699957,0.003934395,0.003077239,0.0009623182,0.1761878,0.003895348,0.008295349,0.7545508],"study_design_scores_gemma":[0.0001262495,0.0009444634,0.6320588,0.0006466105,0.0002618001,0.0167807,0.002559699,0.002312487,0.0223297,0.003087841,0.3188183,0.00007335058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7985964,0.00729112,0.004858207,0.0001825702,0.0001102554,0.0002674767,0.002209536,0.0006867278,0.1857977],"genre_scores_gemma":[0.9792551,0.001291543,0.003542898,0.0001649862,0.00003627019,0.00008110438,0.001256825,0.00004550581,0.01432563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006468651,"threshold_uncertainty_score":0.02163982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08575507892719675,"score_gpt":0.1926393290555744,"score_spread":0.1068842501283776,"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."}}