{"id":"W6887202686","doi":"10.15468/dl.uq8qq2","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","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":[0.0009598389,0.002000829,0.00158137,0.004671023,0.001009777,0.002543359,0.002724813,0.002106521,0.1556344],"category_scores_gemma":[0.005936121,0.0009062751,0.001256077,0.008974086,0.000440143,0.002379999,0.002528832,0.001989382,0.221652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538171,"about_ca_system_score_gemma":0.00232509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166355,"about_ca_topic_score_gemma":0.03443369,"domain_scores_codex":[0.998995,0.0001377195,0.0001222971,0.0003602134,0.0002149225,0.0001697983],"domain_scores_gemma":[0.9975575,0.0007137973,0.0002137554,0.0006476797,0.0005835864,0.0002836948],"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":[0.00002879886,0.00001166787,0.000375678,0.0005231336,0.00001383344,0.00001526205,0.00002197014,0.0001268781,0.0001182991,0.0003301314,0.997027,0.001407368],"study_design_scores_gemma":[0.00007479734,0.000009787184,0.002037371,0.0002068378,0.00001459948,0.00003910869,0.00007825309,0.0001785107,0.0002009423,0.0007450403,0.9963964,0.00001837528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004833627,0.00003044501,0.00004595332,0.0000416205,0.00001412799,0.000005962534,0.9987344,0.0004358248,0.0006432617],"genre_scores_gemma":[0.0001690906,0.00003500234,0.0001902307,0.00004911773,0.000003859118,0.00004316721,0.9988991,0.0001465103,0.0004638759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8443656,"threshold_uncertainty_score":0.520649,"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."}}