{"id":"W6905858796","doi":"10.15468/dl.q9sn9r","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0008803693,0.001905439,0.001512624,0.005193929,0.0009811415,0.00254874,0.002644496,0.001837419,0.173354],"category_scores_gemma":[0.006055596,0.0008793335,0.001141956,0.009987785,0.0004132952,0.00231783,0.002518917,0.001843696,0.2403288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582672,"about_ca_system_score_gemma":0.002342702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02056497,"about_ca_topic_score_gemma":0.03391463,"domain_scores_codex":[0.998922,0.0001382791,0.0001396072,0.0003918891,0.0002321044,0.0001761855],"domain_scores_gemma":[0.9976153,0.0006615047,0.0002304342,0.0005865538,0.0006423672,0.0002638177],"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":[0.00002752349,0.00001026907,0.0003592962,0.0005421912,0.00001205585,0.00001335069,0.00002073614,0.0001050522,0.0001113599,0.0003476468,0.9969012,0.001549499],"study_design_scores_gemma":[0.00005676932,0.000008734699,0.001772271,0.000191163,0.00001299538,0.00003414672,0.00006717413,0.0001327712,0.0001856363,0.000693372,0.996828,0.00001705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003895412,0.00002566747,0.00004089075,0.00003212491,0.00001192342,0.00000506149,0.9988372,0.000333708,0.0006746537],"genre_scores_gemma":[0.0001522412,0.00003621775,0.0001960484,0.00004385237,0.000003747636,0.00004406731,0.9987968,0.0001425691,0.0005843838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.826646,"threshold_uncertainty_score":0.5799267,"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."}}