{"id":"W6887202837","doi":"10.15468/dl.tz6cfn","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); Data set","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":[0.001035546,0.001949089,0.001662756,0.005287156,0.0009453525,0.002511947,0.002736372,0.002037097,0.1533355],"category_scores_gemma":[0.006387086,0.0008912099,0.001180851,0.01045449,0.0004305819,0.002224286,0.002426233,0.001905948,0.2111104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493197,"about_ca_system_score_gemma":0.002256642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01961909,"about_ca_topic_score_gemma":0.03166015,"domain_scores_codex":[0.9988927,0.0001527237,0.0001524341,0.0003759147,0.0002458789,0.0001803686],"domain_scores_gemma":[0.9973425,0.0007651211,0.0002530702,0.0006792604,0.0006612686,0.0002987173],"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":[0.00003345909,0.00001207453,0.0004225886,0.0006188723,0.00001692822,0.00001647521,0.00002328028,0.0001377889,0.0001319538,0.0003741758,0.9966984,0.001513807],"study_design_scores_gemma":[0.0000821166,0.000009579126,0.0021755,0.0002187555,0.00001632721,0.00004051571,0.00007346999,0.0001579872,0.0001923034,0.00075035,0.9962642,0.00001882885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004129429,0.00002738927,0.00003816108,0.00003145551,0.00001047047,0.000005041072,0.9990301,0.0003008078,0.000515301],"genre_scores_gemma":[0.0001547775,0.00003327977,0.0001703348,0.00004022607,0.000003467378,0.00004116021,0.9990538,0.0001140276,0.0003889749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466645,"threshold_uncertainty_score":0.5129582,"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."}}