{"id":"W6887309556","doi":"10.15468/dl.u6r2tv","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Tropical forest; Amazon rainforest; Population","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":["insufficient_payload"],"category_scores_codex":[0.0008102309,0.002418176,0.0020028,0.007728671,0.001283221,0.004167279,0.002291491,0.002237587,0.460611],"category_scores_gemma":[0.006780754,0.0009526523,0.001785053,0.01075849,0.0004061303,0.00329016,0.003463655,0.002301697,0.5445843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135474,"about_ca_system_score_gemma":0.002671142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072388,"about_ca_topic_score_gemma":0.03611959,"domain_scores_codex":[0.9987985,0.0001358574,0.0001664884,0.0004281461,0.0002659147,0.0002051542],"domain_scores_gemma":[0.9967901,0.0008920952,0.0002365738,0.0007433188,0.0008202401,0.0005176268],"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":[0.00003210672,0.00001244112,0.000238752,0.0004341212,0.000009899987,0.00001443694,0.00002028461,0.00008751747,0.00006828041,0.0003644519,0.9958059,0.002911898],"study_design_scores_gemma":[0.00006133712,0.000009781871,0.0009602467,0.0001699016,0.00001359278,0.00003313251,0.0000764854,0.0001779362,0.0001083504,0.001147195,0.9972212,0.00002078017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004959427,0.00006462971,0.000102867,0.00007239055,0.00004339407,0.00001182181,0.994984,0.001387359,0.00328387],"genre_scores_gemma":[0.0002494222,0.0001028704,0.0005262893,0.0001313255,0.00001558545,0.00006427163,0.9952803,0.0006236863,0.003006174],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.539389,"threshold_uncertainty_score":0.769373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}