{"id":"W6931082594","doi":"10.5281/zenodo.3867658","title":"Typhloiulus illyricus Verhoeff 1929","year":2017,"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":"BC Research (Canada)","funders":"","keywords":"Subspecies; Distribution (mathematics); Natural (archaeology); Population","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":[0.00005848966,0.0002692724,0.000109443,0.00098455,0.0005084577,0.000223447,0.0002741134,0.000223172,0.02267247],"category_scores_gemma":[0.0002460031,0.0001195021,0.00008329556,0.0005267037,0.0003198976,0.0003465508,0.0006235089,0.0001583655,0.004206886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003641218,"about_ca_system_score_gemma":0.0001987292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02165503,"about_ca_topic_score_gemma":0.02374926,"domain_scores_codex":[0.9999144,0.000005940173,0.000009150556,0.00002247404,0.00002384336,0.00002417159],"domain_scores_gemma":[0.9999006,0.00001459217,0.00004842161,0.000006348251,0.00001579008,0.00001436421],"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":[0.0003318569,0.00004788431,0.0653735,0.0004688926,0.00003933987,0.0009956529,0.0007216205,0.0006396383,0.01998819,0.003152146,0.02225615,0.8859851],"study_design_scores_gemma":[0.00003872718,0.0003245256,0.7273157,0.000680907,0.00004121637,0.00225051,0.0009123369,0.0004949264,0.002995657,0.001099615,0.2638184,0.0000273886],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3424233,0.01423257,0.003816938,0.0004126008,0.0004995713,0.0002692373,0.009246862,0.0004875578,0.6286113],"genre_scores_gemma":[0.9426948,0.003300419,0.001961085,0.0001409339,0.0000950837,0.00007281231,0.005698703,0.00002868943,0.04600757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02267247,"threshold_uncertainty_score":0.07584697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07082244958534364,"score_gpt":0.2139590794165258,"score_spread":0.1431366298311822,"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."}}