{"id":"W6905982109","doi":"10.15468/dl.ufu9rx","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; 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":[0.001010504,0.002029737,0.001669542,0.005015854,0.001020101,0.00270104,0.00289925,0.002234364,0.1708108],"category_scores_gemma":[0.006372637,0.0009493551,0.001182791,0.009719269,0.0004551758,0.002499204,0.002646211,0.002077826,0.2246219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527053,"about_ca_system_score_gemma":0.002342015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986812,"about_ca_topic_score_gemma":0.03403741,"domain_scores_codex":[0.998949,0.000147383,0.0001321832,0.0003745794,0.000226163,0.0001707995],"domain_scores_gemma":[0.9974432,0.0007609855,0.0002378678,0.0006611159,0.0005954763,0.000301377],"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":[0.00003025475,0.00001166908,0.0003614588,0.0005820423,0.00001496692,0.00001585587,0.00002396508,0.000119069,0.0001131814,0.000384916,0.9970334,0.00130926],"study_design_scores_gemma":[0.00007689265,0.000007935697,0.001756629,0.0001973056,0.00001400867,0.00003736653,0.00007051895,0.0001395317,0.0001715477,0.0008168145,0.9966929,0.00001841728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003929745,0.00002700959,0.00004387645,0.00003562656,0.00001143919,0.000005226903,0.9988326,0.0003781205,0.000626748],"genre_scores_gemma":[0.00016611,0.00003340228,0.0002010732,0.00004834509,0.000003600579,0.00004360723,0.9988766,0.0001589651,0.0004681734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8291892,"threshold_uncertainty_score":0.5714191,"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."}}