{"id":"W6887029123","doi":"10.15468/dl.mkrct4","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","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":[0.001023266,0.001841837,0.001578942,0.005143838,0.001017746,0.002752991,0.002718132,0.002034162,0.1723127],"category_scores_gemma":[0.006714588,0.0009130764,0.001197014,0.009921123,0.0004277032,0.002463272,0.002517314,0.002057272,0.2320199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623438,"about_ca_system_score_gemma":0.002373889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138745,"about_ca_topic_score_gemma":0.0336549,"domain_scores_codex":[0.9989324,0.0001522392,0.0001358267,0.0003799364,0.0002280644,0.0001715149],"domain_scores_gemma":[0.997308,0.000819676,0.0002369296,0.0006806204,0.0006774495,0.000277358],"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":[0.00002643727,0.00001071081,0.0003756919,0.0005720237,0.00001410484,0.00001453945,0.00002436008,0.0001232635,0.000102281,0.0003944708,0.9968659,0.001476161],"study_design_scores_gemma":[0.00006432065,0.000007681521,0.001693432,0.0002112804,0.00001372482,0.00003241675,0.00007690359,0.0001491852,0.0001608893,0.000816005,0.9967567,0.00001738846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003700049,0.0000264385,0.00004441694,0.00003956342,0.00001218448,0.000005508025,0.9988411,0.0003599665,0.0006338363],"genre_scores_gemma":[0.0001637602,0.00003849452,0.0002174699,0.00005056358,0.000003877785,0.00005058711,0.9987749,0.0001633329,0.0005368178],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8276873,"threshold_uncertainty_score":0.5764435,"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."}}