{"id":"W6924608324","doi":"10.15468/dl.p7b6tc","title":"Occurrence Download","year":2023,"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); Order (exchange); Confidentiality","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":[0.001000313,0.00201141,0.001627293,0.004788134,0.001043886,0.002557391,0.002955408,0.002200257,0.1435149],"category_scores_gemma":[0.005853048,0.0009079208,0.00124624,0.009298843,0.0004560717,0.002291059,0.002647218,0.002057302,0.2133873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711035,"about_ca_system_score_gemma":0.002413504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02219976,"about_ca_topic_score_gemma":0.03794065,"domain_scores_codex":[0.998982,0.0001316495,0.0001259903,0.0003570603,0.0002355669,0.000167713],"domain_scores_gemma":[0.9977526,0.0006178839,0.0002096316,0.0005996414,0.0005615843,0.0002586477],"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":[0.00002976371,0.00001183355,0.0003959377,0.0005227823,0.0000153506,0.00001600814,0.00002592096,0.0001344353,0.0001318244,0.0004244938,0.9968375,0.001454135],"study_design_scores_gemma":[0.00007003315,0.000007955767,0.001743065,0.0001859394,0.00001451955,0.00003979159,0.00007341764,0.000170584,0.0002069273,0.0008057055,0.9966639,0.00001812385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004451799,0.00002858907,0.00005094317,0.00003638259,0.00001213898,0.000005306455,0.9987192,0.0004500489,0.0006529138],"genre_scores_gemma":[0.0001574806,0.00003031304,0.0002115956,0.00004285045,0.000003083691,0.00003903867,0.9989412,0.0001552966,0.0004190993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8564851,"threshold_uncertainty_score":0.4801052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}