{"id":"W6961821916","doi":"10.15468/dl.tgak8k","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)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001165076,0.001986552,0.001626098,0.005002688,0.001068701,0.002728725,0.002955856,0.002054278,0.1740106],"category_scores_gemma":[0.006604519,0.0009707142,0.001166176,0.009807079,0.000460544,0.002373589,0.002706622,0.00214281,0.2326283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697515,"about_ca_system_score_gemma":0.00249571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02338255,"about_ca_topic_score_gemma":0.03869431,"domain_scores_codex":[0.9988924,0.0001473483,0.0001402879,0.0003834572,0.0002604207,0.0001762049],"domain_scores_gemma":[0.9973127,0.0007840174,0.0002468819,0.0006991363,0.0006513592,0.0003057638],"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":[0.00002569182,0.00001043366,0.0003293676,0.0004917592,0.00001383299,0.00001389208,0.00002432005,0.0001105315,0.0001135452,0.0003973664,0.9971688,0.001300283],"study_design_scores_gemma":[0.00006368547,0.000006540906,0.001608485,0.0001773034,0.00001320514,0.0000326689,0.00006758561,0.0001261039,0.0001821559,0.000723366,0.9969818,0.0000169893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003574408,0.00002299119,0.00004918989,0.00003420277,0.00001137119,0.000005088265,0.9987795,0.0003790908,0.0006828982],"genre_scores_gemma":[0.0001459813,0.00002984593,0.0002055364,0.00004195204,0.000003088868,0.0000432878,0.9988639,0.0001769353,0.0004895669],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8259894,"threshold_uncertainty_score":0.5821234,"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."}}