{"id":"W6931270175","doi":"10.5281/zenodo.4524743","title":"Podocinella misella","year":2019,"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":"University of Guelph","funders":"","keywords":"Seta; Dorsum; Ridge; Numerical digit; Apex (geometry)","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":[0.0001061073,0.0006748912,0.0002666606,0.001321956,0.001143549,0.0005530672,0.0003272603,0.000396325,0.009864992],"category_scores_gemma":[0.0004818582,0.000200119,0.0001506026,0.0005894708,0.0003179668,0.001164587,0.0009726857,0.0004245858,0.002255377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005072503,"about_ca_system_score_gemma":0.0003278802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004057216,"about_ca_topic_score_gemma":0.007184636,"domain_scores_codex":[0.9998521,0.00001585914,0.00001392032,0.00004132988,0.00004904265,0.00002778973],"domain_scores_gemma":[0.9998026,0.00002729765,0.00008383422,0.00001400523,0.00004131972,0.00003096883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001196025,0.0001510064,0.04697125,0.003115945,0.00007285894,0.005365928,0.001980847,0.001399756,0.1247534,0.005705636,0.02655058,0.7827367],"study_design_scores_gemma":[0.0001275785,0.0005897657,0.4088531,0.001114603,0.00009851003,0.01316477,0.002332734,0.0007606863,0.01249184,0.002327609,0.5580801,0.00005861415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6101848,0.0451784,0.008738408,0.001657863,0.001282518,0.0004971738,0.005391431,0.0008004549,0.326269],"genre_scores_gemma":[0.9644886,0.004151284,0.003283754,0.0004048367,0.000122935,0.00007146924,0.001345151,0.00001881369,0.02611309],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009864992,"threshold_uncertainty_score":0.03300166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04366523115651653,"score_gpt":0.1886297721740038,"score_spread":0.1449645410174872,"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."}}