{"id":"W6924510642","doi":"10.15468/dl.tn8r8v","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); Data set; Set (abstract data type)","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":[0.0006294585,0.002953161,0.002004959,0.005885737,0.001481007,0.003418197,0.00294848,0.002974448,0.215189],"category_scores_gemma":[0.005878753,0.000938703,0.001876652,0.009744176,0.000456614,0.004041518,0.003276802,0.002269291,0.3292215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738412,"about_ca_system_score_gemma":0.002518336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02766611,"about_ca_topic_score_gemma":0.05293867,"domain_scores_codex":[0.9987751,0.0001372885,0.0001581166,0.0004219658,0.0002980276,0.0002094861],"domain_scores_gemma":[0.9978936,0.0005027109,0.0001445175,0.0005184926,0.0006788015,0.0002619199],"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":[0.0000481688,0.00001551673,0.0004503517,0.0006212103,0.0000151392,0.00003218734,0.00002339878,0.0001587985,0.0001248013,0.000411626,0.994497,0.003601743],"study_design_scores_gemma":[0.00006313347,0.00001464511,0.001349811,0.0001983873,0.0000166896,0.00008227948,0.0001043925,0.0004850892,0.000215898,0.001289409,0.9961566,0.00002363188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001483089,0.0001861361,0.0002133846,0.0001207251,0.00005700909,0.00001629638,0.993357,0.002744512,0.003156529],"genre_scores_gemma":[0.0004466051,0.0001096477,0.0005897403,0.0001142295,0.0000129769,0.0000431619,0.9968587,0.0004205646,0.001404298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.784811,"threshold_uncertainty_score":0.7198788,"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."}}