{"id":"W6943570682","doi":"10.15468/dl.utrech","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); 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":[0.001141628,0.00199135,0.001656147,0.005099963,0.001063438,0.002785762,0.002907154,0.002099542,0.1770995],"category_scores_gemma":[0.006904538,0.001020388,0.001200413,0.009963757,0.0004644565,0.002394842,0.002769181,0.002153696,0.2301847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170848,"about_ca_system_score_gemma":0.002528295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221819,"about_ca_topic_score_gemma":0.03535815,"domain_scores_codex":[0.9988631,0.0001468831,0.0001488168,0.0003982329,0.0002589107,0.0001840945],"domain_scores_gemma":[0.9972808,0.0007997888,0.0002532743,0.0006979149,0.0006635074,0.0003046814],"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":[0.00002853694,0.00001041363,0.0003646093,0.0005630152,0.00001535927,0.0000151714,0.00002544577,0.0001177262,0.0001268579,0.0004036163,0.9970095,0.0013197],"study_design_scores_gemma":[0.00006731968,0.000007235939,0.001727601,0.0001916117,0.00001475449,0.00003581399,0.00007012534,0.0001333737,0.0001925816,0.0007224911,0.9968191,0.00001807634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003453303,0.00002243861,0.00004639112,0.00003291224,0.00001115422,0.00000495281,0.9988599,0.0003807088,0.0006069772],"genre_scores_gemma":[0.0001528469,0.00003159355,0.0002116626,0.00004379349,0.000003105772,0.00004464544,0.998857,0.0001905787,0.0004646203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8229005,"threshold_uncertainty_score":0.5924567,"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."}}