{"id":"W6911297195","doi":"10.5281/zenodo.10166065","title":"Ancistrocerus capra subsp. spenceri Bequaert 1944","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":"","funders":"","keywords":"Capra; Type (biology)","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":[0.000136339,0.0004717703,0.0001717683,0.001045545,0.001276536,0.0003710526,0.0005554151,0.0002728897,0.007432871],"category_scores_gemma":[0.0004151113,0.0001885862,0.0001507401,0.0007711389,0.0004719475,0.0004579087,0.0005384712,0.0003021893,0.002642041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007311128,"about_ca_system_score_gemma":0.0005452634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09192907,"about_ca_topic_score_gemma":0.1987827,"domain_scores_codex":[0.9998689,0.000008142961,0.000009437509,0.00003467401,0.00005466599,0.00002411522],"domain_scores_gemma":[0.9997647,0.00002204774,0.00008382953,0.00002141298,0.00009442571,0.0000135695],"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":[0.0003575167,0.00005655015,0.08964194,0.000548514,0.00006687235,0.00180573,0.001545923,0.0008346403,0.02448063,0.005596402,0.07482843,0.8002368],"study_design_scores_gemma":[0.00003334056,0.0001009127,0.4647903,0.000573374,0.0001230127,0.003434085,0.0008428173,0.0004930947,0.004361311,0.0011889,0.5240201,0.00003872152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2397168,0.01660557,0.003751453,0.0005646262,0.001149448,0.0003028152,0.003197721,0.0003754868,0.7343361],"genre_scores_gemma":[0.9212571,0.006961796,0.003721157,0.0004978041,0.0003043842,0.0001085751,0.001869635,0.00004956636,0.06522986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09192907,"threshold_uncertainty_score":0.182788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0852091354429431,"score_gpt":0.213358278996745,"score_spread":0.1281491435538019,"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."}}