{"id":"W6969060006","doi":"10.5281/zenodo.4574269","title":"Pronotocrepis clavicornis Knight 1929","year":2010,"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":"Knight; Canyon; Table (database); Gray (unit)","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":[0.0001004928,0.0009063329,0.0003407984,0.002651672,0.00176301,0.0007087894,0.0007570829,0.0003661509,0.03948465],"category_scores_gemma":[0.00045211,0.0002952812,0.0001752696,0.002021997,0.0004989314,0.001030758,0.0009176701,0.0005202658,0.01824243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009098739,"about_ca_system_score_gemma":0.0005345896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0314854,"about_ca_topic_score_gemma":0.07905957,"domain_scores_codex":[0.9996212,0.00001893646,0.00002116709,0.0001239593,0.0001753331,0.00003948274],"domain_scores_gemma":[0.9997908,0.0000189855,0.00008367062,0.00002150736,0.00006767025,0.00001735845],"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":[0.0001811112,0.00005814138,0.01825115,0.0005718758,0.0000357773,0.001040156,0.001178907,0.0003149375,0.01053957,0.005048139,0.07396365,0.8888167],"study_design_scores_gemma":[0.0000186334,0.00005364294,0.1055153,0.0004623929,0.00005998919,0.00315461,0.00114954,0.0001627992,0.002793308,0.0008682313,0.8857303,0.00003131586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0407633,0.008261849,0.002843865,0.000301651,0.0004321178,0.0002525374,0.006592642,0.0004384967,0.9401135],"genre_scores_gemma":[0.7237276,0.009860036,0.008056404,0.0005693263,0.000345795,0.0002422423,0.01258811,0.0002236535,0.2443869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03948465,"threshold_uncertainty_score":0.1320893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03927783936526253,"score_gpt":0.1996795111199215,"score_spread":0.1604016717546589,"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."}}