{"id":"W6887100828","doi":"10.15468/dl.qpsqw8","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); Alien; The Internet","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":[0.0009700527,0.001897547,0.001535271,0.004791489,0.001035091,0.002693618,0.002775033,0.002059377,0.1726898],"category_scores_gemma":[0.0062506,0.0008854783,0.001270566,0.008828229,0.0004251407,0.00248855,0.002553736,0.002038393,0.2363432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493193,"about_ca_system_score_gemma":0.002203895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999998,"about_ca_topic_score_gemma":0.03230908,"domain_scores_codex":[0.9989992,0.0001436015,0.0001205675,0.0003618567,0.0002137475,0.0001610871],"domain_scores_gemma":[0.9975622,0.000735755,0.0002006273,0.0006403259,0.0006017168,0.0002593982],"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":[0.00002668018,0.00001147149,0.0003732871,0.0005061179,0.00001380958,0.00001446892,0.00002262895,0.0001174059,0.0001036634,0.0003554825,0.9970338,0.001421158],"study_design_scores_gemma":[0.00006771953,0.00000850063,0.001821124,0.0002027855,0.00001439101,0.0000364241,0.0000793541,0.0001697148,0.0001837156,0.0008517606,0.996546,0.00001846167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004337114,0.00002922364,0.00004916188,0.00004346729,0.0000141636,0.000006116407,0.998723,0.0004127894,0.0006787514],"genre_scores_gemma":[0.0001676491,0.00003633797,0.0002145314,0.00005198714,0.000004197949,0.00005028101,0.9987622,0.0001648267,0.0005479113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8273101,"threshold_uncertainty_score":0.577705,"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."}}