{"id":"W6943496970","doi":"10.15468/dl.uf7ktk","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); Range (aeronautics); Alien; The Internet","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":[0.001021839,0.001965238,0.001502151,0.004673845,0.001022085,0.002501408,0.002725567,0.002108089,0.1487381],"category_scores_gemma":[0.005965976,0.0008996011,0.001279668,0.008981502,0.0004680525,0.002219344,0.002601648,0.001994813,0.2110633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498425,"about_ca_system_score_gemma":0.002264858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01972689,"about_ca_topic_score_gemma":0.03321205,"domain_scores_codex":[0.9989671,0.000143792,0.0001305177,0.0003621541,0.0002293682,0.0001671143],"domain_scores_gemma":[0.9974769,0.0007482645,0.0002256498,0.0006807187,0.0005814179,0.0002869842],"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":[0.00002839482,0.00001273119,0.0003969753,0.0005265599,0.0000144949,0.00001535533,0.00002354572,0.0001282893,0.0001271191,0.0003432965,0.9969599,0.001423387],"study_design_scores_gemma":[0.00008071873,0.00001040996,0.002080352,0.0002062298,0.00001524986,0.00004143865,0.00008283308,0.000172869,0.0002126199,0.0007642849,0.9963148,0.00001829341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005230017,0.00003032484,0.00004747941,0.00004318051,0.00001557243,0.000006538048,0.9987287,0.0004269892,0.0006488468],"genre_scores_gemma":[0.0001721072,0.00003419733,0.0002080059,0.00005212328,0.00000404452,0.00004805573,0.9988644,0.0001452071,0.0004718744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8512619,"threshold_uncertainty_score":0.4975784,"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."}}