{"id":"W6905932310","doi":"10.15468/dl.t66hcg","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); Biodiversity; 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":[0.001009047,0.001964664,0.001654115,0.005467088,0.001166731,0.003058113,0.003061671,0.002053456,0.2030368],"category_scores_gemma":[0.00661226,0.001039503,0.001221597,0.01141627,0.0004557371,0.002793059,0.002869874,0.002084806,0.26719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972215,"about_ca_system_score_gemma":0.002765364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02772064,"about_ca_topic_score_gemma":0.04547852,"domain_scores_codex":[0.9988651,0.0001484871,0.0001384839,0.0004095918,0.0002481434,0.000190144],"domain_scores_gemma":[0.9973989,0.0007368977,0.0002213206,0.0006474355,0.0007109136,0.0002846746],"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":[0.00002572722,0.000008708552,0.0003150091,0.0005297384,0.0000127491,0.00001293503,0.00002248848,0.0001054159,0.00009187249,0.0004147491,0.996913,0.001547582],"study_design_scores_gemma":[0.00005340363,0.000005795004,0.001259995,0.0001887152,0.00001165425,0.00002956387,0.00006875798,0.0001164928,0.0001524321,0.0007986204,0.9972984,0.00001633461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003052775,0.00002755166,0.00004817801,0.0000363846,0.00001087149,0.000004924619,0.9986507,0.0003969487,0.0007938118],"genre_scores_gemma":[0.0001499734,0.00004167186,0.0002233798,0.00005392476,0.000003441271,0.00004334903,0.998668,0.0002019509,0.0006144255],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7969632,"threshold_uncertainty_score":0.6792256,"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."}}