{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007942236,0.002486323,0.00150497,0.008276375,0.001474199,0.002099998,0.002667206,0.001251402,0.02435255],"category_scores_gemma":[0.003927148,0.00105857,0.001281983,0.01812028,0.0005322308,0.0009823542,0.001233557,0.001739965,0.01848509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01060919,"about_ca_system_score_gemma":0.02653458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.926029,"about_ca_topic_score_gemma":0.9550502,"domain_scores_codex":[0.9989145,0.00004841701,0.00008979248,0.0002027186,0.0004390632,0.0003056203],"domain_scores_gemma":[0.9954324,0.000379906,0.000394734,0.0003882223,0.002922394,0.0004824872],"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":[0.00005509278,0.0000131112,0.004562758,0.0005375582,0.00006466053,0.00002204294,0.00004229628,0.000397721,0.0001136644,0.0004196603,0.9903508,0.003420664],"study_design_scores_gemma":[0.00008490188,0.000007681208,0.04887788,0.000587024,0.00008112736,0.00005786135,0.0001734875,0.0006688953,0.0004548315,0.0005730897,0.9483712,0.00006193325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001408298,0.00006696647,0.00002840183,0.00001569905,0.000007964477,0.000004692897,0.99931,0.00007072381,0.000354718],"genre_scores_gemma":[0.0006247547,0.0001026607,0.0002008069,0.00002373295,0.000003138367,0.00003011291,0.9982729,0.00002867875,0.0007133292],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07397097,"threshold_uncertainty_score":0.1488131,"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."}}