{"id":"W6899484025","doi":"10.5886/4pp2vt5a","title":"University of Guelph Insect Collection (DEBU) from University of Guelph","year":2013,"lang":"en","type":"other","venue":"Canadensys","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Insect; Data collection; Blood collection; Data collection system; Aquatic insect","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001231439,0.0006179708,0.0005596238,0.003680897,0.003108126,0.001364445,0.001276098,0.000355731,0.1132961],"category_scores_gemma":[0.002013786,0.0005190225,0.000257453,0.003270515,0.0006810059,0.0007575214,0.001577532,0.0006089427,0.0383758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005481302,"about_ca_system_score_gemma":0.01002961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4841777,"about_ca_topic_score_gemma":0.834147,"domain_scores_codex":[0.9987922,0.00008230143,0.00005562286,0.0002391111,0.0007035229,0.0001272489],"domain_scores_gemma":[0.9978867,0.00008583994,0.0001107274,0.0002113312,0.00140072,0.000304579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001387246,0.00004274088,0.008001371,0.000518301,0.00001046717,0.0003305004,0.000872435,0.00008039267,0.002267246,0.004668777,0.8125009,0.1705682],"study_design_scores_gemma":[0.00000964616,0.00001427264,0.0258907,0.0001403014,0.000006532847,0.0001501608,0.0001774611,0.00006334537,0.0007055421,0.0002089204,0.97262,0.00001309285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01841593,0.003005045,0.005430718,0.001620791,0.0006138965,0.00200451,0.1893907,0.001827899,0.7776905],"genre_scores_gemma":[0.03690157,0.003324394,0.0343795,0.001139457,0.000159533,0.001356701,0.1033655,0.001375543,0.8179979],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5158223,"threshold_uncertainty_score":0.962719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569607865395689,"score_gpt":0.1793289542413485,"score_spread":0.1636328755873916,"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."}}