{"id":"W6924368024","doi":"10.15468/dl.kyxeqs","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":[0.001010197,0.002078498,0.001626159,0.004817124,0.001044428,0.002601045,0.002868184,0.002203157,0.1496015],"category_scores_gemma":[0.006272553,0.0009329092,0.001331866,0.009060164,0.0004528234,0.002492191,0.002650925,0.002018883,0.2203339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551187,"about_ca_system_score_gemma":0.00230506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02109387,"about_ca_topic_score_gemma":0.03392778,"domain_scores_codex":[0.9989196,0.0001534746,0.0001384173,0.000387569,0.0002264415,0.0001744788],"domain_scores_gemma":[0.9974012,0.0007417914,0.0002214507,0.0007114267,0.0006348055,0.0002892002],"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":[0.00003087365,0.00001269684,0.0003890257,0.0005464691,0.00001507034,0.00001544056,0.00002284246,0.0001268139,0.0001159945,0.0003392486,0.9969902,0.001395245],"study_design_scores_gemma":[0.00008263988,0.00001070124,0.00211226,0.0002098739,0.00001609373,0.00004262204,0.00008325102,0.0001926429,0.0002030402,0.0008082408,0.9962191,0.00001959035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005012053,0.00003073649,0.00004904496,0.00004299524,0.00001480173,0.000006338805,0.9986975,0.0004780371,0.0006303954],"genre_scores_gemma":[0.0001620003,0.00003347149,0.0001997453,0.00004850355,0.000003859194,0.00004263023,0.9989368,0.0001440404,0.000428927],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8503985,"threshold_uncertainty_score":0.5004668,"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."}}