{"id":"W6961990687","doi":"10.15468/dl.z7jfs7","title":"Occurrence Download","year":2015,"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; Confidentiality","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":[0.001046826,0.001933098,0.001657622,0.005236524,0.0009385801,0.002744856,0.002962326,0.001957793,0.1456562],"category_scores_gemma":[0.006212363,0.0008799771,0.001215223,0.01051721,0.0004113694,0.002430235,0.002579931,0.002047212,0.2052689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613529,"about_ca_system_score_gemma":0.002516962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138961,"about_ca_topic_score_gemma":0.03610978,"domain_scores_codex":[0.9988563,0.0001504177,0.000149001,0.000396886,0.0002658193,0.0001816397],"domain_scores_gemma":[0.9975736,0.000647594,0.0002455174,0.0006529247,0.0006013367,0.0002789648],"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":[0.00002584257,0.000009977479,0.0003792523,0.0004880301,0.00001661562,0.00001303045,0.00002127699,0.0001222374,0.0001003831,0.0004242287,0.9969953,0.001403754],"study_design_scores_gemma":[0.00005908654,0.000006747615,0.001764729,0.0001854651,0.00001521955,0.00003364962,0.00005958893,0.0001412188,0.0001780479,0.0008075889,0.9967325,0.00001615592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004028889,0.00003239666,0.00004948747,0.00003556917,0.00001169416,0.000004782127,0.9987826,0.0003676323,0.0006754617],"genre_scores_gemma":[0.0001425372,0.00003473298,0.0001692015,0.00003986514,0.000002945984,0.00003217402,0.9989988,0.0001228923,0.0004568226],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8543438,"threshold_uncertainty_score":0.4872684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}