{"id":"W6943289734","doi":"10.15468/dl.xf4btw","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); 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":[0.001003728,0.001971565,0.001514507,0.005079073,0.0009804757,0.002449483,0.002828035,0.002004473,0.1551523],"category_scores_gemma":[0.005688515,0.0008832332,0.001124962,0.009720206,0.0004610096,0.00228868,0.002509724,0.002039668,0.213584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553875,"about_ca_system_score_gemma":0.002224664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02042936,"about_ca_topic_score_gemma":0.03512008,"domain_scores_codex":[0.9990174,0.0001353703,0.0001208066,0.0003394333,0.000220806,0.0001662938],"domain_scores_gemma":[0.9976522,0.0006589705,0.0002278934,0.0006313316,0.0005507559,0.0002788541],"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":[0.00002733127,0.00001190031,0.0003720811,0.0004996129,0.00001400401,0.00001453093,0.00002411505,0.0001365901,0.0001194238,0.0003862847,0.99695,0.00144405],"study_design_scores_gemma":[0.00006709935,0.000007617581,0.001738778,0.0001729994,0.00001277828,0.00003515183,0.00007239045,0.0001531674,0.0001875745,0.0007601275,0.9967758,0.00001655141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004666153,0.00002632096,0.00004870214,0.00003554805,0.00001275749,0.000005432445,0.9987515,0.0003836372,0.0006895134],"genre_scores_gemma":[0.0001672654,0.00003095587,0.0002060744,0.00004102297,0.000003509628,0.00004273915,0.9988858,0.0001488145,0.0004738116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8448477,"threshold_uncertainty_score":0.5190363,"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."}}