{"id":"W6962515095","doi":"10.15468/dl.b845kp","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); Order (exchange); Data access","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":[0.001006564,0.001971902,0.001619919,0.005612473,0.00100424,0.002647576,0.002843025,0.001970383,0.1693322],"category_scores_gemma":[0.006007754,0.0009287985,0.00121384,0.01042777,0.0004670236,0.002268808,0.002828703,0.001971354,0.2344398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580936,"about_ca_system_score_gemma":0.002469156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02261889,"about_ca_topic_score_gemma":0.03827627,"domain_scores_codex":[0.9989171,0.0001409037,0.0001395184,0.0003680844,0.0002436819,0.0001906767],"domain_scores_gemma":[0.9973902,0.0006717968,0.0002533827,0.0006974378,0.0006635289,0.0003236336],"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":[0.00003223967,0.00001156125,0.0003986305,0.0005798688,0.00001636178,0.00001558971,0.00002496219,0.0001140266,0.0001371047,0.0003957055,0.9967913,0.001482592],"study_design_scores_gemma":[0.00006838368,0.000007801959,0.001802947,0.000186276,0.00001453312,0.0000347769,0.00006542588,0.0001168558,0.0001922959,0.0007333241,0.9967604,0.00001695203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004094009,0.00002573486,0.00004016746,0.00003093625,0.00001069569,0.000005138425,0.9988223,0.0003718939,0.0006523588],"genre_scores_gemma":[0.0001451878,0.000032126,0.0001753103,0.00004371824,0.000003289354,0.00003745033,0.9989519,0.00015363,0.0004574221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8306679,"threshold_uncertainty_score":0.5664725,"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."}}