{"id":"W6887124193","doi":"10.15468/dl.nbd2gq","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; Alien; Range (aeronautics); 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":[0.0009660748,0.002062544,0.001625858,0.004732037,0.0009823991,0.002591698,0.002762967,0.002028443,0.1585364],"category_scores_gemma":[0.006242625,0.0009273979,0.001241828,0.009388411,0.0004365387,0.002245746,0.00247011,0.001917065,0.2141052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536434,"about_ca_system_score_gemma":0.002272937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02035094,"about_ca_topic_score_gemma":0.03311358,"domain_scores_codex":[0.9989562,0.0001431285,0.0001314711,0.0003789419,0.0002217088,0.0001684959],"domain_scores_gemma":[0.9975974,0.0007220866,0.0002292946,0.000604487,0.0005839396,0.0002628815],"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":[0.00003262321,0.00001171633,0.000398877,0.0005891671,0.00001533015,0.000015184,0.00002146324,0.0001359228,0.0001196739,0.0003672081,0.9967873,0.00150538],"study_design_scores_gemma":[0.00007862657,0.00001006448,0.001818058,0.0002016012,0.00001559537,0.00003808417,0.00006400866,0.0001681873,0.0001940006,0.0008276837,0.9965652,0.00001890999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004359887,0.00003019305,0.00004481453,0.0000364795,0.00001241872,0.000005308208,0.9987909,0.0004078862,0.000628477],"genre_scores_gemma":[0.0001689422,0.00003727537,0.0002099872,0.0000500534,0.000003759422,0.00004520573,0.9988411,0.0001603902,0.0004832023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8414636,"threshold_uncertainty_score":0.5303571,"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."}}