{"id":"W6912467516","doi":"10.5281/zenodo.3867297","title":"Mesoiulus stammeri","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); Natural (archaeology); Process (computing); Work (physics)","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":[0.00008564825,0.000411603,0.0001741922,0.001503646,0.00070456,0.0002871551,0.0004214724,0.000344376,0.02560268],"category_scores_gemma":[0.0003865178,0.0001936929,0.0002377067,0.0008835883,0.0002543588,0.000592066,0.0007596083,0.0002789834,0.009072606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003807853,"about_ca_system_score_gemma":0.0003130155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007710875,"about_ca_topic_score_gemma":0.01827852,"domain_scores_codex":[0.9999036,0.00001078173,0.00001461018,0.0000196937,0.00003236387,0.00001887746],"domain_scores_gemma":[0.999833,0.00002100948,0.00006920232,0.00001315763,0.00004188056,0.00002168154],"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":[0.000359321,0.00005414612,0.03921081,0.0009012201,0.00007369823,0.001088064,0.0004535182,0.001057704,0.03269252,0.005480233,0.03115673,0.887472],"study_design_scores_gemma":[0.00006125437,0.0003777242,0.613687,0.000971203,0.0001068022,0.004269305,0.0008810175,0.00122214,0.00545183,0.00265815,0.370269,0.0000445556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2642452,0.01866965,0.009390289,0.0008840616,0.001228724,0.0003767987,0.01247297,0.0008901754,0.6918421],"genre_scores_gemma":[0.9197266,0.005028789,0.0086824,0.000555939,0.0001977883,0.0002586069,0.009618545,0.00006705851,0.05586433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02560268,"threshold_uncertainty_score":0.08564943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08511187635319435,"score_gpt":0.220888550964282,"score_spread":0.1357766746110877,"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."}}