{"id":"W6961844476","doi":"10.15468/dl.gqx98r","title":"Occurrence Download","year":2024,"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); Data set; 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":[0.0009645246,0.001997483,0.001607748,0.005104001,0.001030892,0.002665072,0.002981469,0.002049418,0.1638886],"category_scores_gemma":[0.006072334,0.000966095,0.001194617,0.0100884,0.0004548508,0.002664631,0.00273482,0.002091391,0.2295417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166183,"about_ca_system_score_gemma":0.002390708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02250415,"about_ca_topic_score_gemma":0.0392711,"domain_scores_codex":[0.998911,0.0001544269,0.0001354652,0.0003832446,0.0002388086,0.0001770609],"domain_scores_gemma":[0.9974726,0.0006958514,0.0002286227,0.0006972527,0.0006252702,0.0002804618],"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":[0.00002578781,0.00001020081,0.0003147165,0.0004736169,0.00001314656,0.0000131037,0.00002286474,0.0001166141,0.00009350303,0.0003904323,0.9971836,0.00134253],"study_design_scores_gemma":[0.00006090224,0.000006548183,0.001371115,0.0001631586,0.00001163222,0.00003037662,0.00006642513,0.0001385808,0.0001529446,0.0007944389,0.997188,0.00001578686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003950994,0.0000264088,0.00004851128,0.00003803419,0.00001190217,0.000005107272,0.9986903,0.0004290148,0.0007112139],"genre_scores_gemma":[0.0001475452,0.00003352047,0.0002094872,0.0000440428,0.000003256284,0.00003794168,0.9988488,0.0001721207,0.0005032065],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8361114,"threshold_uncertainty_score":0.548262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}