{"id":"W6943794331","doi":"10.15468/dl.ntmzyl","title":"Occurrence Download","year":2017,"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; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009661024,0.001843644,0.001529681,0.006024078,0.0009344132,0.002623043,0.002728351,0.001924549,0.1495439],"category_scores_gemma":[0.006032722,0.0008048935,0.001143925,0.01185231,0.0004380049,0.002273986,0.002756767,0.001962606,0.2241839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591634,"about_ca_system_score_gemma":0.002695988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210909,"about_ca_topic_score_gemma":0.03979079,"domain_scores_codex":[0.9988379,0.0001489047,0.0001511692,0.0003764864,0.0002814887,0.0002040695],"domain_scores_gemma":[0.9973993,0.0006199649,0.0002711344,0.0006627913,0.0007313789,0.0003155465],"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":[0.00002788874,0.000009968067,0.0004146978,0.000536514,0.00001566048,0.00001470905,0.00002339916,0.0001014744,0.0001161254,0.0004192322,0.9968418,0.001478527],"study_design_scores_gemma":[0.0000530214,0.000006512791,0.001799191,0.0001874845,0.0000132887,0.00003334255,0.00006646937,0.00009842384,0.0001688243,0.0006708436,0.9968877,0.00001483912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004087046,0.00003181359,0.00003842651,0.00003345859,0.00001117098,0.000004856578,0.9988111,0.0003017086,0.0007265648],"genre_scores_gemma":[0.0001505902,0.00003762457,0.0001526999,0.00004148535,0.000003426621,0.00003084676,0.9989856,0.0001111524,0.0004865254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8504561,"threshold_uncertainty_score":0.5002742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}