{"id":"W6950020395","doi":"10.5281/zenodo.3866729","title":"Megaphyllum unilineatum","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":"Habitat; Fauna; Population; Robinia; Distribution (mathematics); Taxon","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":[0.0001164428,0.0007839361,0.0004755305,0.001860605,0.001313822,0.0004634252,0.0005935034,0.0004773258,0.02962118],"category_scores_gemma":[0.0003346373,0.000228052,0.000190248,0.001210708,0.0002554871,0.0007823343,0.001009293,0.000464825,0.01944734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00044958,"about_ca_system_score_gemma":0.000205132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003459049,"about_ca_topic_score_gemma":0.007746016,"domain_scores_codex":[0.9998339,0.00001926303,0.00001698095,0.00006181559,0.0000317656,0.00003622018],"domain_scores_gemma":[0.9997653,0.00002107084,0.0001098768,0.00001823333,0.00005961189,0.00002584386],"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":[0.0005489093,0.0002682717,0.05603966,0.001809484,0.0001895087,0.001557054,0.001777824,0.0005449918,0.04732921,0.008468376,0.07552915,0.8059375],"study_design_scores_gemma":[0.00003901917,0.0001828374,0.1611902,0.0002779463,0.00008488032,0.002386196,0.0005318717,0.0003659476,0.001826195,0.001186182,0.8318955,0.00003329634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3355137,0.04690324,0.007844225,0.001609028,0.001259914,0.0007387237,0.03032932,0.00280177,0.5730001],"genre_scores_gemma":[0.8674245,0.006909375,0.0103909,0.001115778,0.0005511327,0.0004370665,0.01784284,0.000211558,0.09511685],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02962118,"threshold_uncertainty_score":0.09909272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0749292303729399,"score_gpt":0.2174149659973078,"score_spread":0.1424857356243679,"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."}}