{"id":"W6955679284","doi":"10.5883/ds-bicnp14","title":"BIOBUS INVENTORY OF CANADA`S NATIONAL PARKS 2008-2012 - INSECT ORDERS PART 3 - HEMIPTERA","year":2014,"lang":"en","type":"dataset","venue":"Barcode of Life Data Systems","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hemiptera; Insect; Scale insect; Biodiversity","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"],"consensus_categories":[],"category_scores_codex":[0.003686286,0.000973343,0.002226293,0.0007943684,0.0001423013,0.00009324674,0.005201737,0.000707237,0.0006371975],"category_scores_gemma":[0.003224172,0.0009999607,0.0001590761,0.0006856714,0.0004443816,0.0006930855,0.001328392,0.0007657426,0.000464841],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006505147,"about_ca_system_score_gemma":0.01172664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7248396,"about_ca_topic_score_gemma":0.6253436,"domain_scores_codex":[0.9894046,0.001145397,0.002972776,0.001420335,0.004086529,0.000970318],"domain_scores_gemma":[0.9887226,0.0005242783,0.003707601,0.005396943,0.0009501537,0.0006984694],"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":[0.0001196075,0.0002025151,0.0002344178,0.003761102,0.0007162697,0.00001704877,0.000009178549,0.0003376465,0.00005433773,0.00004466896,0.9944972,0.000006047981],"study_design_scores_gemma":[0.001029426,0.00005901751,0.00007216665,0.001468183,0.0002209337,0.00003379516,0.00005691994,0.001167344,0.00001231055,0.000002709058,0.9950177,0.0008595005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001374949,0.004305905,0.00001842039,0.00004127517,0.003174513,0.00104172,0.9909062,0.00005108625,0.0003233721],"genre_scores_gemma":[0.002696551,0.000124818,0.00004216048,0.0001764293,0.001500696,0.0001166601,0.9949687,0.0001890142,0.0001849514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09949599,"threshold_uncertainty_score":0.9992451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07019895559625919,"score_gpt":0.2707520177193003,"score_spread":0.2005530621230411,"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."}}