{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009620452,0.0003478981,0.0007523807,0.0006846322,0.0001091831,0.00000725706,0.000655744,0.0006534375,0.02216791],"category_scores_gemma":[0.00003491169,0.0004756978,0.0002037371,0.0007256555,0.0003914444,0.00007679399,0.0001516326,0.0003052627,0.001704383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009857375,"about_ca_system_score_gemma":0.0008832733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7388219,"about_ca_topic_score_gemma":0.5726381,"domain_scores_codex":[0.9983026,0.0002306443,0.0001827281,0.0005282539,0.0004253451,0.0003304062],"domain_scores_gemma":[0.9979761,0.0000667874,0.0007644892,0.0007706925,0.0001837534,0.0002381553],"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":[0.00008198026,0.00004610726,0.001084219,0.00009527484,0.0004270864,0.0000767235,0.0004075106,0.000009639454,0.005083668,0.0001024692,0.9924903,0.00009505525],"study_design_scores_gemma":[0.001482142,0.00007363273,0.02305505,0.0003970089,0.0004460314,0.000004553035,0.001474815,0.00009761013,0.0002387839,0.000044595,0.9721416,0.0005441519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05005349,0.001124159,0.0002140058,0.0001022422,0.000965743,0.001165861,0.009000984,0.0004384343,0.9369351],"genre_scores_gemma":[0.1382584,0.0001595299,0.0004303677,0.00001072271,0.0001162306,1.498294e-7,0.0003688684,0.000443238,0.8602125],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1661838,"threshold_uncertainty_score":0.9997694,"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."}}