{"id":"W6961834902","doi":"10.15468/dl.pvkrsm","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); Data set","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":[0.001190218,0.002116588,0.001691523,0.005261681,0.001097298,0.002822885,0.00305268,0.002201533,0.1732483],"category_scores_gemma":[0.006912904,0.001042497,0.001213812,0.01035931,0.0004812796,0.002501692,0.002760339,0.002138067,0.2395575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800775,"about_ca_system_score_gemma":0.002604623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02359549,"about_ca_topic_score_gemma":0.03625553,"domain_scores_codex":[0.9987631,0.0001646487,0.0001607398,0.0004315579,0.0002848523,0.0001951541],"domain_scores_gemma":[0.9970873,0.0008454493,0.0002619849,0.0007647356,0.0007297792,0.000310745],"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":[0.00002869243,0.00001096858,0.000331085,0.0005313234,0.00001489977,0.00001532768,0.00002490603,0.0001169665,0.0001165136,0.000400811,0.9971331,0.001275366],"study_design_scores_gemma":[0.00006964323,0.000007051501,0.001616919,0.0001851253,0.00001406948,0.0000353354,0.00006994534,0.0001414781,0.0001952006,0.0007638392,0.9968829,0.00001841192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003247824,0.00002242024,0.00004692952,0.00003308217,0.00001051611,0.000005036792,0.998859,0.0003803973,0.0006100943],"genre_scores_gemma":[0.0001435303,0.00003054646,0.0001984473,0.00004205962,0.000003068972,0.00004188849,0.9989251,0.0001773583,0.000437979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8267516,"threshold_uncertainty_score":0.5795734,"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."}}