{"id":"W6943562478","doi":"10.15468/dl.p2vzfk","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":"Matching (statistics); Download; 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":[0.0009306995,0.002043291,0.001631084,0.005016607,0.0009462666,0.002561135,0.002735075,0.001961968,0.1604241],"category_scores_gemma":[0.005767094,0.0009431523,0.00117689,0.00987958,0.0004266121,0.002279875,0.002546588,0.001894424,0.213017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500836,"about_ca_system_score_gemma":0.002281124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01913055,"about_ca_topic_score_gemma":0.03212926,"domain_scores_codex":[0.9989187,0.0001461672,0.0001430538,0.0003860607,0.0002283529,0.0001777683],"domain_scores_gemma":[0.9976058,0.000663158,0.0002362108,0.0006192024,0.0005966758,0.0002790414],"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":[0.0000356857,0.0000117283,0.0003782331,0.0006208287,0.00001591923,0.0000145222,0.0000207038,0.0001227304,0.0001242793,0.0003870938,0.9968459,0.0014224],"study_design_scores_gemma":[0.00008309006,0.000009709873,0.001844608,0.0001949979,0.00001557992,0.00003699829,0.00005990235,0.0001397407,0.0001823494,0.0007839305,0.9966304,0.00001875458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000378368,0.00002660814,0.00003622978,0.00002964853,0.00001049534,0.000004737259,0.9989589,0.0003108172,0.0005846934],"genre_scores_gemma":[0.0001467674,0.00003501602,0.0001729831,0.00004518807,0.000003337463,0.00003818865,0.9989949,0.0001224291,0.0004411861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8395759,"threshold_uncertainty_score":0.5366722,"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."}}