{"id":"W6962345605","doi":"10.15468/dl.yj9v64","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); Alien","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":[0.0009960234,0.001896862,0.001548488,0.004730077,0.0009819504,0.002465625,0.002768185,0.002093105,0.1432486],"category_scores_gemma":[0.005727598,0.0008773792,0.001265508,0.009055683,0.0004452746,0.002223058,0.002447564,0.002001262,0.2068027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547532,"about_ca_system_score_gemma":0.002222521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209479,"about_ca_topic_score_gemma":0.03388208,"domain_scores_codex":[0.9989371,0.0001476001,0.0001354759,0.0003693926,0.0002324679,0.0001779752],"domain_scores_gemma":[0.9975165,0.0007190485,0.0002274143,0.0006695492,0.0005888302,0.0002787393],"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":[0.00003129477,0.00001304774,0.0004323266,0.0005292872,0.00001520834,0.00001550983,0.00002360386,0.0001400063,0.0001306057,0.0003631157,0.99684,0.00146595],"study_design_scores_gemma":[0.00007695395,0.00001012118,0.002283948,0.0002049229,0.00001595532,0.00004027324,0.00008039663,0.0001756438,0.0002133543,0.000754037,0.9961253,0.00001912883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004782848,0.00002603638,0.00004154356,0.00003582953,0.00001216654,0.000005349335,0.9989078,0.000347383,0.0005759494],"genre_scores_gemma":[0.0001595942,0.00003014455,0.0001790362,0.0000409545,0.000003228108,0.00003972014,0.999014,0.0001179723,0.0004153873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8567514,"threshold_uncertainty_score":0.4792142,"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."}}