{"id":"W6924643399","doi":"10.15468/dl.t58k7f","title":"Occurrence Download","year":2021,"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); R package","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":[0.0009618574,0.002040912,0.001663662,0.005283759,0.000985796,0.002641255,0.002811543,0.00190478,0.1575466],"category_scores_gemma":[0.005746895,0.0009026875,0.001132904,0.01138635,0.0004467276,0.002366382,0.002528595,0.001953977,0.2228313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001923427,"about_ca_system_score_gemma":0.002882147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03671334,"about_ca_topic_score_gemma":0.06153444,"domain_scores_codex":[0.9989539,0.0001327487,0.0001269124,0.0003612634,0.0002435865,0.0001815046],"domain_scores_gemma":[0.9974255,0.0006694759,0.0002386587,0.0006549315,0.0006998979,0.0003115559],"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":[0.00002686055,0.000009676596,0.0003584243,0.0004738895,0.00001436023,0.00001349429,0.00002255531,0.0001331631,0.00009858829,0.0003838653,0.9971212,0.001344006],"study_design_scores_gemma":[0.00006245539,0.000006807602,0.001806597,0.0001744095,0.00001350426,0.00003031043,0.00007113994,0.0001476064,0.0001858461,0.0007986299,0.9966847,0.00001804221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003073271,0.00001959784,0.0000354625,0.0000259645,0.000008064611,0.000004086666,0.9989882,0.0003259868,0.0005619088],"genre_scores_gemma":[0.0001334623,0.00002724014,0.000169749,0.00003285971,0.000002663267,0.00003229456,0.9990323,0.0001303631,0.0004392676],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8424534,"threshold_uncertainty_score":0.5270458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}