{"id":"W6887122790","doi":"10.15468/dl.rsupfc","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); Data set; Selection (genetic algorithm)","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":[0.001061683,0.001962592,0.001652562,0.005491745,0.001006531,0.002633355,0.00277403,0.002077762,0.175901],"category_scores_gemma":[0.006062163,0.0009638283,0.001137818,0.01115611,0.0004525768,0.002395631,0.002665696,0.002103071,0.2429955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170859,"about_ca_system_score_gemma":0.002440924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201382,"about_ca_topic_score_gemma":0.03655295,"domain_scores_codex":[0.9988883,0.0001457613,0.0001470329,0.0003800795,0.0002488074,0.000190048],"domain_scores_gemma":[0.9972644,0.0007481101,0.0002678915,0.0006954955,0.0006991535,0.0003249941],"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":[0.00002569337,0.00001016955,0.0003279596,0.0005183206,0.0000137598,0.00001305946,0.00002289762,0.0001091061,0.0001065037,0.0003915912,0.9971536,0.001307274],"study_design_scores_gemma":[0.00006506548,0.000007166127,0.001638883,0.0001942439,0.00001290733,0.00003084225,0.00006858725,0.0001168905,0.0001634737,0.000708868,0.9969761,0.00001682302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003148219,0.00002317177,0.00003579688,0.00002986276,0.0000105211,0.000004597614,0.9989709,0.000281131,0.0006124785],"genre_scores_gemma":[0.0001305098,0.00003260396,0.0001777087,0.0000403233,0.0000031339,0.00003811418,0.9989599,0.0001381648,0.0004795589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8240989,"threshold_uncertainty_score":0.5884476,"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."}}