{"id":"W6906100010","doi":"10.15468/dl.z3zqf2","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; Range (aeronautics); Set (abstract data type)","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":[0.0008917005,0.001958204,0.001569921,0.004854297,0.0009032157,0.002482906,0.002636415,0.001885481,0.156519],"category_scores_gemma":[0.005435515,0.00092701,0.00113252,0.009569929,0.0004061419,0.002197727,0.002474102,0.001838889,0.2119524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464073,"about_ca_system_score_gemma":0.002216708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01942651,"about_ca_topic_score_gemma":0.03345486,"domain_scores_codex":[0.9989516,0.0001390649,0.0001382224,0.0003750082,0.0002194831,0.0001766006],"domain_scores_gemma":[0.9976318,0.0006301291,0.0002444518,0.0006119898,0.0006023521,0.0002792574],"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":[0.00003523229,0.00001163403,0.0004074021,0.0005642617,0.00001568531,0.00001395589,0.00002020609,0.0001176573,0.0001223992,0.0003695916,0.9969264,0.001395638],"study_design_scores_gemma":[0.00008169794,0.000009742495,0.00205915,0.0001847388,0.00001533392,0.00003628375,0.00006034625,0.0001377456,0.0001829496,0.0007614356,0.9964516,0.00001892797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003821832,0.00002355135,0.00003382811,0.00002816707,0.0000101703,0.000004462882,0.9990267,0.0002770124,0.0005579303],"genre_scores_gemma":[0.0001458865,0.00003146981,0.0001645515,0.00004484833,0.000003426549,0.00003728817,0.9989982,0.0001124445,0.0004618829],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8434811,"threshold_uncertainty_score":0.5236081,"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."}}