{"id":"W6968356303","doi":"10.5281/zenodo.3867116","title":"Typhloiulus montellensis Verhoeff 1930","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Distribution (mathematics); Natural (archaeology); Population; Habitat","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":[0.0000579066,0.0001967268,0.00008798025,0.000726725,0.000628826,0.0001993116,0.0002473437,0.0002274139,0.01721986],"category_scores_gemma":[0.0002057312,0.0001427493,0.00007260217,0.0003446628,0.0003943596,0.0003002867,0.0004634002,0.0001507951,0.002125947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109684,"about_ca_system_score_gemma":0.0001327653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03018196,"about_ca_topic_score_gemma":0.06172761,"domain_scores_codex":[0.999941,0.00000371897,0.000003904099,0.00001603244,0.00001409433,0.00002122655],"domain_scores_gemma":[0.999933,0.00001320356,0.000027835,0.000004170501,0.00001007317,0.00001155025],"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":[0.0004310812,0.0001075286,0.1564181,0.0005345782,0.00004555268,0.001951739,0.001342409,0.0008162289,0.0293448,0.004187539,0.03519833,0.769622],"study_design_scores_gemma":[0.00003198538,0.0002748306,0.8851262,0.0004942134,0.00003079978,0.002373915,0.0007391887,0.0002881835,0.001686571,0.0008267031,0.1081087,0.00001854264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5633377,0.0133838,0.001466248,0.000419976,0.0003108452,0.0001140729,0.004133172,0.0003693555,0.4164648],"genre_scores_gemma":[0.9652441,0.002187577,0.0008774153,0.00009609792,0.00007165808,0.00002715055,0.00171579,0.00001285446,0.02976738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03018196,"threshold_uncertainty_score":0.06001258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03774671738842358,"score_gpt":0.2471378779893882,"score_spread":0.2093911606009646,"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."}}