{"id":"W6962045716","doi":"10.15468/dl.u6xagz","title":"Occurrence Download","year":2022,"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); Alien; The Internet; Range (aeronautics)","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":[0.0009775474,0.001897255,0.001575553,0.005156927,0.0009907335,0.002660696,0.002651021,0.002033362,0.1705779],"category_scores_gemma":[0.006388197,0.0008901364,0.001231393,0.009399731,0.0004263909,0.002355088,0.002511718,0.001960933,0.2326301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530884,"about_ca_system_score_gemma":0.002264787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045997,"about_ca_topic_score_gemma":0.03239688,"domain_scores_codex":[0.9989833,0.000139037,0.0001284002,0.000359249,0.0002215783,0.0001684035],"domain_scores_gemma":[0.9973918,0.0008037838,0.0002284228,0.0006508669,0.0006364053,0.0002886654],"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":[0.00002782584,0.000011116,0.0003899493,0.0005532283,0.00001404746,0.00001533986,0.00002177781,0.000115685,0.0001101016,0.0003171006,0.996997,0.00142684],"study_design_scores_gemma":[0.00007581738,0.00000972998,0.002129403,0.0002364974,0.00001632422,0.00003954108,0.00008233935,0.0001736534,0.000191555,0.0007852291,0.9962409,0.00001905268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004091788,0.00002762876,0.00003971813,0.0000390008,0.00001264897,0.000005679972,0.9988787,0.0003637525,0.000591922],"genre_scores_gemma":[0.0001663318,0.00003693657,0.000189623,0.00005070972,0.000004002655,0.00004731076,0.9988601,0.000148471,0.0004966296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8294221,"threshold_uncertainty_score":0.5706398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}