{"id":"W6906091395","doi":"10.15468/dl.z37b3j","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; R package","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":[0.0008732874,0.002097146,0.001570221,0.00497321,0.001052757,0.002578062,0.002905114,0.002101159,0.1573543],"category_scores_gemma":[0.005604031,0.000912379,0.001194122,0.009456176,0.0004809111,0.00231369,0.002653732,0.001994559,0.2256973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001760678,"about_ca_system_score_gemma":0.002356043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02842483,"about_ca_topic_score_gemma":0.04904772,"domain_scores_codex":[0.9990594,0.0001217681,0.000109316,0.0003181833,0.0002287242,0.0001626664],"domain_scores_gemma":[0.9978566,0.0006070817,0.0001772852,0.0005488818,0.0005605835,0.000249582],"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":[0.00002518029,0.00001145734,0.0003658199,0.0004814582,0.00001305805,0.00001628431,0.00002596991,0.0001243802,0.0001106326,0.0003490097,0.9970393,0.001437476],"study_design_scores_gemma":[0.00006657647,0.000007905528,0.001773223,0.0001966859,0.00001384167,0.000044076,0.00009358963,0.0001835488,0.0002024865,0.0007455016,0.9966539,0.00001862221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005199537,0.00003265392,0.00005405807,0.00003889894,0.0000131976,0.000005796889,0.9985232,0.0005261728,0.0007540738],"genre_scores_gemma":[0.0001834915,0.00003531393,0.0002306335,0.00004236589,0.00000335437,0.00004186692,0.9987944,0.0001811647,0.0004872941],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8426457,"threshold_uncertainty_score":0.5264025,"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."}}