{"id":"W6906206764","doi":"10.15468/loqrlv","title":"New Staphylinidae (Coleoptera) records with new collection data from New Brunswick, Canada: Scaphidiinae, Piestinae, Osorinae, and Oxytelinae","year":2012,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Identification (biology); Historical record; Taxonomy (biology)","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":[0.0007138447,0.002416006,0.00164312,0.01092015,0.001982579,0.001979348,0.003279839,0.001069631,0.03471037],"category_scores_gemma":[0.004554535,0.001349995,0.001028124,0.02753642,0.0005534854,0.001000348,0.001224037,0.001813302,0.0180726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01313569,"about_ca_system_score_gemma":0.03073763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9415932,"about_ca_topic_score_gemma":0.9695253,"domain_scores_codex":[0.9990348,0.00003471108,0.0001150133,0.0001909217,0.0003345101,0.0002900404],"domain_scores_gemma":[0.9940155,0.0003601659,0.0005298604,0.0005181525,0.004060782,0.0005154973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001066782,0.00002148403,0.00743168,0.001353099,0.00009909378,0.00005024746,0.0001278432,0.0004105835,0.0002762227,0.0005458541,0.984512,0.005065317],"study_design_scores_gemma":[0.0002124017,0.000009132797,0.07199772,0.0009796048,0.0001123186,0.00006854538,0.0002953724,0.0003648817,0.0006851594,0.0003646973,0.9248481,0.00006198716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001766483,0.0000477038,0.00002329216,0.00001016483,0.000006165902,0.000007237269,0.9992964,0.00003969618,0.0003925569],"genre_scores_gemma":[0.00083853,0.0001270791,0.0002151731,0.00001922219,0.000002242209,0.00004993222,0.9978301,0.00002349534,0.0008941983],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05840677,"threshold_uncertainty_score":0.1175014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818867193695706,"score_gpt":0.222637862294492,"score_spread":0.1944491903575349,"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."}}