{"id":"W6955554451","doi":"10.5883/ds-bicnp18","title":"BIOBUS INVENTORY OF CANADA`S NATIONAL PARKS 2008-2012 - INSECT ORDERS PART 6 - SMALL ORDERS","year":2014,"lang":"en","type":"dataset","venue":"Barcode of Life Data Systems","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Order (exchange); Work (physics); Measure (data warehouse); Production (economics)","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":[0.001173516,0.00043961,0.001257176,0.000292289,0.00006959372,0.00002429047,0.001273291,0.0004562691,0.0001469028],"category_scores_gemma":[0.006541184,0.0004062437,0.00009292767,0.0002766236,0.0002149134,0.0001248954,0.0005088286,0.0005000222,0.00002170237],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001526073,"about_ca_system_score_gemma":0.005892029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6792895,"about_ca_topic_score_gemma":0.3605828,"domain_scores_codex":[0.995812,0.0002792322,0.001293665,0.0006464111,0.001485452,0.0004832436],"domain_scores_gemma":[0.9951725,0.000678054,0.001060829,0.002096884,0.0004648892,0.0005268184],"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":[0.0001428893,0.0001465173,0.0007154803,0.003042762,0.0004035324,0.00002994125,0.000005227372,0.000171972,0.000005113785,0.00004157281,0.9952608,0.00003414067],"study_design_scores_gemma":[0.001260396,0.0001563573,0.0003892039,0.002107561,0.0003063536,0.00003367339,0.00005628851,0.001022247,0.000005660989,0.000002252541,0.9943023,0.0003577119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002560084,0.003688951,0.0001341415,0.0001594231,0.001428892,0.000615207,0.9933203,0.00002543181,0.0003716524],"genre_scores_gemma":[0.004897175,0.0002998334,0.0001283354,0.0003965481,0.0008470134,0.0000349307,0.9932021,0.00004341005,0.0001506293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3187066,"threshold_uncertainty_score":0.9998389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07700739733194013,"score_gpt":0.2723544144207057,"score_spread":0.1953470170887656,"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."}}