{"id":"W6931066543","doi":"10.5281/zenodo.3789236","title":"Habrosynini","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Canadian Food Inspection Agency; Royal Alberta Museum; Calgary Laboratory Services; Natural Resources Canada","funders":"","keywords":"Term (time); Identification (biology); Channel (broadcasting)","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":[0.0001022442,0.0005941636,0.0003246168,0.0006370491,0.00176519,0.0004623365,0.0004118748,0.00041145,0.031237],"category_scores_gemma":[0.0003156887,0.0001846291,0.0001380995,0.000601097,0.0005430055,0.0009347292,0.0009969524,0.0005387854,0.006555809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010536,"about_ca_system_score_gemma":0.000662814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153636,"about_ca_topic_score_gemma":0.01796071,"domain_scores_codex":[0.9998314,0.00001585309,0.00001274427,0.0000616085,0.00003812885,0.00004013724],"domain_scores_gemma":[0.9999031,0.00001042222,0.00003193493,0.0000127702,0.00002469101,0.00001708356],"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":[0.001464115,0.0001522881,0.03772799,0.001249047,0.00004413833,0.003729642,0.003792238,0.0009980036,0.1361247,0.02987691,0.03116289,0.7536781],"study_design_scores_gemma":[0.00006745382,0.0002370338,0.1354996,0.0002584608,0.00004312332,0.003041455,0.001532837,0.0005957822,0.008403778,0.001620456,0.8486634,0.00003663139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3178448,0.006552276,0.005472291,0.0007098414,0.001132093,0.0005245917,0.003378272,0.000687615,0.6636981],"genre_scores_gemma":[0.7834553,0.003556515,0.005176809,0.0006310254,0.0003570685,0.0002357058,0.002783117,0.0001678061,0.2036368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.031237,"threshold_uncertainty_score":0.1044982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897730753327384,"score_gpt":0.2083074055301195,"score_spread":0.1893300979968457,"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."}}