{"id":"W6924827457","doi":"10.15468/dl.ne9kye","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.001018857,0.00179317,0.001488653,0.004751164,0.001047586,0.002858904,0.002822272,0.001909686,0.1704278],"category_scores_gemma":[0.006477057,0.0008863254,0.00134367,0.009454492,0.0004360437,0.002383986,0.002665619,0.002077088,0.2473754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630039,"about_ca_system_score_gemma":0.002520596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190214,"about_ca_topic_score_gemma":0.03607977,"domain_scores_codex":[0.9989096,0.0001432723,0.0001421763,0.0003830599,0.0002380416,0.0001838394],"domain_scores_gemma":[0.9974956,0.0006679219,0.0002059388,0.0006748268,0.0006893321,0.0002663551],"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":[0.00002768498,0.00001051735,0.0004241318,0.0004955225,0.00001434713,0.00001514176,0.00002668832,0.0001273038,0.0001082304,0.0004483077,0.9964366,0.001865417],"study_design_scores_gemma":[0.00005754842,0.00000623896,0.001579671,0.0001646303,0.00001183906,0.00002964854,0.00007650788,0.0001647733,0.0001740816,0.0008557918,0.9968638,0.00001544425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004518373,0.00002745203,0.00006467789,0.00004492964,0.0000151435,0.000006583983,0.9983901,0.0005830094,0.0008230294],"genre_scores_gemma":[0.0001831336,0.00003941333,0.0002923616,0.00005457901,0.000004304392,0.00005270692,0.9985159,0.0002235156,0.0006341719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8295722,"threshold_uncertainty_score":0.5701379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02942933033685214,"score_gpt":0.2923134583428296,"score_spread":0.2628841280059775,"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."}}