{"id":"W6924722512","doi":"10.15468/dl.wnxuxy","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); Confidentiality; 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":[0.001013853,0.001972035,0.00160035,0.004902004,0.001054394,0.002778246,0.003012401,0.002161457,0.1654281],"category_scores_gemma":[0.00626431,0.0009388156,0.001259859,0.009222584,0.000453235,0.002551176,0.002665277,0.002198769,0.243312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611601,"about_ca_system_score_gemma":0.00234209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01840069,"about_ca_topic_score_gemma":0.03128956,"domain_scores_codex":[0.9989375,0.0001499774,0.0001273039,0.0003873108,0.0002274604,0.0001703728],"domain_scores_gemma":[0.9975968,0.0006906951,0.0002083501,0.0006449157,0.0005920457,0.0002671892],"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":[0.00002674046,0.00001141692,0.000345302,0.0005091928,0.0000142946,0.00001403931,0.00002083067,0.0001147755,0.0001086159,0.0003678319,0.9970635,0.001403565],"study_design_scores_gemma":[0.00006815988,0.000008399435,0.001633996,0.000196686,0.00001438332,0.00003684634,0.00007100692,0.0001602781,0.0001857928,0.0008616882,0.996745,0.00001766385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004101968,0.00003179421,0.00005021883,0.00004234451,0.00001413355,0.000006083933,0.9986942,0.0004258533,0.0006942489],"genre_scores_gemma":[0.0001533434,0.00003756359,0.000208297,0.00005414024,0.000003940569,0.00004844947,0.9988085,0.0001643042,0.0005215599],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8345719,"threshold_uncertainty_score":0.5534122,"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."}}