{"id":"W6930951385","doi":"10.5281/zenodo.3867067","title":"Typhloiulus kotelensis Jawlowski 1938","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":"Distribution (mathematics); Cave; Natural (archaeology); Vegetation (pathology)","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":[0.00004270848,0.0002780209,0.0001764328,0.001052648,0.000705042,0.0002163622,0.0002171964,0.0001972161,0.01102465],"category_scores_gemma":[0.0001336151,0.0001714638,0.0001504738,0.0005278498,0.0004630774,0.00041661,0.0006869697,0.0001936857,0.003331535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860539,"about_ca_system_score_gemma":0.0002147442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00706782,"about_ca_topic_score_gemma":0.01500178,"domain_scores_codex":[0.9999419,0.000002867547,0.00001026078,0.00001896676,0.0000144095,0.0000114878],"domain_scores_gemma":[0.9999582,0.000004503509,0.00002088471,0.000002791334,0.000007739131,0.000005985848],"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":[0.001210624,0.000179495,0.1340722,0.001960553,0.0001149746,0.005731993,0.003224772,0.001099647,0.1046408,0.008752649,0.01884548,0.7201667],"study_design_scores_gemma":[0.0001478909,0.0007043033,0.8216641,0.0007408391,0.0001626574,0.01080679,0.002913574,0.0005103688,0.005404926,0.001483463,0.1554086,0.00005235695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7048503,0.006170027,0.004726178,0.0002758862,0.0004799622,0.0004029902,0.003737288,0.0003956089,0.2789619],"genre_scores_gemma":[0.9732031,0.00337731,0.002136397,0.000141711,0.00006031838,0.0001010296,0.002116146,0.00001996398,0.01884403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01102465,"threshold_uncertainty_score":0.03688115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07503952183830614,"score_gpt":0.2146522467819896,"score_spread":0.1396127249436834,"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."}}