{"id":"W6962283139","doi":"10.15468/dl.vpk4ev","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); Confidentiality; State (computer science)","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":[0.0010095,0.002020986,0.001538322,0.00498049,0.001023574,0.002498953,0.002867299,0.002079884,0.1509477],"category_scores_gemma":[0.005825996,0.0009003429,0.001162727,0.00962079,0.0004708125,0.002299786,0.002545077,0.002061304,0.2064673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598015,"about_ca_system_score_gemma":0.002316398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02169333,"about_ca_topic_score_gemma":0.0361844,"domain_scores_codex":[0.9989877,0.0001386761,0.0001247663,0.0003580106,0.0002227785,0.0001679694],"domain_scores_gemma":[0.997598,0.0006911618,0.0002271782,0.0006284874,0.0005698011,0.0002854435],"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":[0.00002822246,0.00001233234,0.0003749434,0.0004977642,0.00001370791,0.00001531331,0.00002428732,0.0001308641,0.0001202913,0.000374242,0.9970384,0.001369677],"study_design_scores_gemma":[0.00007335912,0.000008558064,0.001819002,0.0001810531,0.00001339506,0.00003762895,0.00007636068,0.0001640954,0.0001950411,0.0007491169,0.9966647,0.00001760171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005005081,0.00002760772,0.00004726029,0.00003823577,0.0000131807,0.000005603171,0.9987588,0.0003931288,0.000666128],"genre_scores_gemma":[0.0001722708,0.00003128109,0.0001986978,0.00004458078,0.000003490555,0.00004336489,0.9988933,0.0001470952,0.0004658756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8490523,"threshold_uncertainty_score":0.5049704,"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."}}