{"id":"W6924808171","doi":"10.15468/dl.xtx357","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Architecture, Design, and Social History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Identification (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002141868,0.000265893,0.0002781731,0.0001121926,0.001041711,0.0001821487,0.0004524832,0.0002280786,0.002629317],"category_scores_gemma":[0.00008463861,0.000267243,0.0002040754,0.00008302867,0.0005796945,0.0005871065,0.0001838599,0.0003157078,0.5205983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003354411,"about_ca_system_score_gemma":0.0001561536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003605193,"about_ca_topic_score_gemma":0.0009325148,"domain_scores_codex":[0.9986761,0.00006935826,0.0003259842,0.0001878667,0.0004528903,0.0002878501],"domain_scores_gemma":[0.9990678,0.00003022827,0.0002390347,0.0003261805,0.0002141523,0.0001225403],"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":[0.00002845574,0.0000182709,0.00001707316,0.0001449215,0.00003331236,0.00000250583,0.003701709,0.000001804592,2.550285e-9,0.000006708658,0.9951178,0.000927372],"study_design_scores_gemma":[0.0001633426,0.00003117892,0.00001000199,0.000002797279,0.00004796151,5.436094e-7,0.001284791,3.756637e-8,7.944355e-8,0.00001168768,0.9981612,0.0002863833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007327183,0.00002441278,0.000001380177,0.00008052919,0.002191848,0.0002563027,0.9949753,0.000231834,0.002165093],"genre_scores_gemma":[0.000006831463,0.00005376149,2.443061e-7,0.0005090936,0.00001629284,0.000004449177,0.9994013,3.110517e-8,0.000007951317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.517969,"threshold_uncertainty_score":0.999978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852321558814319,"score_gpt":0.2105939950227061,"score_spread":0.182070779434563,"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."}}