{"id":"W6943497473","doi":"10.15468/dl.wmajnh","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); Data set","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":[0.001013055,0.002003717,0.001681702,0.005269473,0.0009892447,0.002675065,0.002789546,0.002139871,0.1502654],"category_scores_gemma":[0.006102032,0.0009115118,0.001172131,0.01009128,0.0004471539,0.002404922,0.002611316,0.002042657,0.2115999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157214,"about_ca_system_score_gemma":0.0023111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02003447,"about_ca_topic_score_gemma":0.03378318,"domain_scores_codex":[0.9988989,0.0001522687,0.0001441599,0.0003826343,0.0002409315,0.0001811097],"domain_scores_gemma":[0.9973931,0.00073323,0.0002521538,0.0006868156,0.0006250687,0.0003095632],"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":[0.00003220684,0.00001212829,0.0004058047,0.0005909657,0.00001562564,0.00001589552,0.00002384967,0.0001290611,0.0001212817,0.0003942912,0.9968812,0.001377604],"study_design_scores_gemma":[0.00007670889,0.000008590345,0.001877152,0.0001996151,0.00001459944,0.00003794889,0.00007462563,0.0001495313,0.0001842713,0.0007891316,0.9965694,0.00001839758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004031311,0.00002681348,0.00004115113,0.00003369254,0.00001100315,0.000004975671,0.9989371,0.0003396325,0.0005652445],"genre_scores_gemma":[0.0001582423,0.00003327443,0.0001883425,0.00004358298,0.000003390834,0.00003960811,0.9989563,0.0001321655,0.0004449367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8497346,"threshold_uncertainty_score":0.5026878,"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."}}