{"id":"W6924589488","doi":"10.15468/dl.m8v3ez","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); Confidentiality; 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":[0.0009180327,0.001803325,0.00155,0.00524094,0.001005298,0.002834115,0.002699656,0.001875918,0.1874762],"category_scores_gemma":[0.006685557,0.0009154428,0.001161933,0.01054057,0.000423791,0.002544391,0.002653643,0.002016032,0.2477124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619313,"about_ca_system_score_gemma":0.002492734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02261953,"about_ca_topic_score_gemma":0.03680149,"domain_scores_codex":[0.9989403,0.0001378702,0.0001382349,0.000374943,0.0002366911,0.0001718711],"domain_scores_gemma":[0.997483,0.0007234481,0.0002363061,0.0006294831,0.0006460838,0.0002818563],"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":[0.00002368655,0.000008464012,0.0003335935,0.0005083818,0.0000123081,0.00001273424,0.00002146395,0.0001000055,0.0000816121,0.0003615796,0.9970664,0.001469743],"study_design_scores_gemma":[0.00005467055,0.000006102719,0.00147265,0.0001947479,0.0000122763,0.00003150821,0.00006947415,0.0001284588,0.0001460932,0.0007459373,0.9971228,0.00001528937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003301058,0.00002684496,0.00004334709,0.00003820201,0.00001242048,0.000004897267,0.9987385,0.0003863027,0.0007165596],"genre_scores_gemma":[0.000155471,0.00004047501,0.000202182,0.00004915337,0.000003972998,0.00004235217,0.998713,0.0001804829,0.0006128415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8125238,"threshold_uncertainty_score":0.6271702,"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."}}