{"id":"W6894207180","doi":"10.5281/zenodo.8030458","title":"Roederiodes chillcotti Sinclair 2023, sp. nov.","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":"Canadian Food Inspection Agency","funders":"","keywords":"Canyon; Holotype; Seta; Paratype; Stress (linguistics); Gable","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003969491,0.001611175,0.0008871348,0.002466058,0.002590108,0.001365427,0.001352448,0.001499681,0.01980699],"category_scores_gemma":[0.001301867,0.0006578232,0.0003996655,0.003048582,0.001074597,0.00243344,0.00106985,0.00216052,0.01874675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002640049,"about_ca_system_score_gemma":0.001889345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09076393,"about_ca_topic_score_gemma":0.1382258,"domain_scores_codex":[0.9995543,0.00003042357,0.00005119313,0.0001408577,0.0001596977,0.00006340539],"domain_scores_gemma":[0.9994721,0.00007384756,0.0001547472,0.00006876578,0.00015907,0.00007147006],"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":[0.0004474804,0.0001444631,0.02369526,0.001385306,0.0001436758,0.003032202,0.002388586,0.001008724,0.009149124,0.00260882,0.1462636,0.8097328],"study_design_scores_gemma":[0.0002337722,0.0002518056,0.1744585,0.00215624,0.000437683,0.01369326,0.002892057,0.001227856,0.002490178,0.001547811,0.8004929,0.0001179332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1809222,0.06378691,0.01798354,0.00347393,0.007620852,0.004597963,0.03706723,0.002916655,0.6816307],"genre_scores_gemma":[0.6369467,0.04968732,0.05039761,0.006570828,0.001806483,0.004632595,0.05206909,0.0005821866,0.1973072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09076393,"threshold_uncertainty_score":0.1804712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06700125575751337,"score_gpt":0.208286567101054,"score_spread":0.1412853113435406,"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."}}