{"id":"W6887266903","doi":"10.15468/dl.urjch7","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":[0.000969369,0.002003379,0.001546938,0.004465216,0.001051835,0.002513664,0.002789093,0.002186421,0.1496932],"category_scores_gemma":[0.005765351,0.0009013269,0.001272617,0.008482255,0.0004595304,0.002451913,0.002583224,0.002072437,0.2240853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562024,"about_ca_system_score_gemma":0.002325717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02181147,"about_ca_topic_score_gemma":0.03548618,"domain_scores_codex":[0.9989725,0.000142726,0.0001244084,0.0003654179,0.0002237294,0.0001710685],"domain_scores_gemma":[0.997512,0.0006855412,0.000208249,0.0006792071,0.0006395989,0.0002753709],"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":[0.00002884606,0.00001312271,0.0003956945,0.0004877307,0.00001299945,0.00001487333,0.0000229436,0.0001267091,0.0001203921,0.0003416509,0.9970281,0.001407021],"study_design_scores_gemma":[0.00007287428,0.000009604789,0.001964497,0.0001920903,0.00001364824,0.00003740872,0.00008287861,0.000178301,0.0002090385,0.0007804767,0.9964404,0.00001883452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005086574,0.00002744571,0.00005045733,0.00004329366,0.00001531645,0.000006468345,0.998643,0.0004762727,0.0006868856],"genre_scores_gemma":[0.0001651598,0.0000307319,0.000211129,0.00004842601,0.000003799078,0.00004351847,0.9988782,0.0001526823,0.0004664852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8503067,"threshold_uncertainty_score":0.5007737,"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."}}