{"id":"W6906357385","doi":"10.15468/dl.yccd3c","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Order (exchange)","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":[0.001110504,0.001952034,0.001684453,0.005294589,0.00103871,0.002842512,0.00299934,0.002036073,0.1795323],"category_scores_gemma":[0.006718695,0.001006256,0.001189762,0.01072775,0.0004620593,0.002465078,0.002714334,0.002042093,0.245199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560807,"about_ca_system_score_gemma":0.002386604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983534,"about_ca_topic_score_gemma":0.03132344,"domain_scores_codex":[0.9988354,0.0001562864,0.0001548869,0.0004105914,0.0002557559,0.000187053],"domain_scores_gemma":[0.9972872,0.0007683588,0.000255817,0.0007158777,0.000665572,0.0003073085],"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":[0.00002762582,0.00001008844,0.0003345114,0.0005338959,0.00001507044,0.00001408958,0.00002368026,0.000107825,0.0001079438,0.000383201,0.9971009,0.00134128],"study_design_scores_gemma":[0.00006482338,0.000006907198,0.001597373,0.0001871826,0.00001412604,0.00003402129,0.0000695059,0.0001203751,0.0001697512,0.0007363924,0.996983,0.00001654413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000340167,0.00002510795,0.00004471402,0.00003318703,0.00001117141,0.000004781733,0.9988593,0.000358389,0.0006291956],"genre_scores_gemma":[0.0001442694,0.00003361109,0.000188371,0.0000430958,0.00000328326,0.0000396134,0.9989133,0.0001703459,0.0004641511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1795323,"threshold_uncertainty_score":0.6005954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}