{"id":"W6924757588","doi":"10.15468/dl.kr8ts8","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); Set (abstract data type); Data set","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":[0.001044985,0.001864703,0.001652509,0.005219182,0.0009433451,0.002508053,0.002732711,0.002006676,0.1628069],"category_scores_gemma":[0.006557418,0.0009059833,0.001202329,0.01044427,0.0004364721,0.00212333,0.002434722,0.001936429,0.2133627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486124,"about_ca_system_score_gemma":0.002270682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02012607,"about_ca_topic_score_gemma":0.03280834,"domain_scores_codex":[0.9989298,0.0001496838,0.0001473231,0.000360635,0.000236179,0.0001764377],"domain_scores_gemma":[0.99729,0.0008038597,0.0002570125,0.0006773924,0.0006670128,0.0003046929],"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":[0.00003195625,0.00001121543,0.0004048519,0.0006311001,0.00001728065,0.00001551301,0.00002304787,0.0001296503,0.000124434,0.0003883296,0.9967934,0.001429128],"study_design_scores_gemma":[0.00008444338,0.000008748229,0.002040359,0.0002213192,0.00001651762,0.00003682447,0.00006816875,0.0001376777,0.0001798932,0.0007915195,0.9963966,0.00001797672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003713133,0.00002574206,0.00003758902,0.00003081602,0.00001028761,0.000004820069,0.9990442,0.0002835103,0.0005257516],"genre_scores_gemma":[0.0001563998,0.00003379236,0.0001739662,0.00004277645,0.000003550754,0.00004208632,0.9990133,0.0001262522,0.0004079215],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8371931,"threshold_uncertainty_score":0.5446433,"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."}}