{"id":"W6943072486","doi":"10.15468/dl.tr8vbw","title":"Occurrence Download","year":2023,"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":[0.001007746,0.001962392,0.00161581,0.004985708,0.001031885,0.00262519,0.002804813,0.002152462,0.1690326],"category_scores_gemma":[0.006271944,0.000883488,0.001271526,0.009661922,0.0004505672,0.00237486,0.00255045,0.001947918,0.242492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599989,"about_ca_system_score_gemma":0.002366087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02209575,"about_ca_topic_score_gemma":0.03474195,"domain_scores_codex":[0.9989418,0.0001463039,0.000132324,0.0003723683,0.0002310833,0.0001760917],"domain_scores_gemma":[0.9973883,0.0007741344,0.000225599,0.0006608677,0.0006756035,0.0002755858],"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":[0.00002853495,0.00001196718,0.0003839323,0.000563746,0.00001350235,0.00001529135,0.0000232583,0.0001082945,0.0001160934,0.0003382642,0.9969466,0.001450371],"study_design_scores_gemma":[0.00006817549,0.000009005823,0.001971956,0.0002166869,0.00001451843,0.00003719218,0.00008121768,0.0001463599,0.0001952421,0.0007230922,0.9965189,0.00001759483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000445101,0.00002915452,0.00004341919,0.00003862601,0.00001261201,0.000005785307,0.9987497,0.0004011265,0.0006749872],"genre_scores_gemma":[0.0001645113,0.00003551809,0.0001912223,0.0000480195,0.000003833861,0.00004414088,0.9988674,0.0001514652,0.0004939105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8309674,"threshold_uncertainty_score":0.5654705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}