{"id":"W6887117065","doi":"10.15468/dl.m8cvpy","title":"Occurrence Download","year":2021,"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); Confidentiality; 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":[0.001138501,0.001977375,0.001714751,0.005212203,0.001014555,0.00275601,0.00308069,0.002179235,0.1773778],"category_scores_gemma":[0.006719049,0.001011624,0.00120711,0.01072777,0.0004713175,0.002552529,0.002537601,0.002197904,0.2236927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722632,"about_ca_system_score_gemma":0.002513738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02205631,"about_ca_topic_score_gemma":0.03423433,"domain_scores_codex":[0.9988147,0.0001626241,0.0001579767,0.0004122755,0.0002653422,0.0001871072],"domain_scores_gemma":[0.9972374,0.000823657,0.0002501346,0.000721106,0.0006569293,0.0003106647],"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":[0.00002912775,0.00001109971,0.0003265803,0.0005160222,0.0000143375,0.00001395835,0.00002216301,0.0001300303,0.000101261,0.0003911521,0.9971079,0.001336302],"study_design_scores_gemma":[0.00007249047,0.000007168197,0.001603067,0.0001798885,0.00001383515,0.000032767,0.00006958494,0.0001548286,0.0001856699,0.000800155,0.996863,0.00001744796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003390622,0.00002197933,0.00004131721,0.00003394745,0.00001062317,0.000004960489,0.9989404,0.0003214784,0.0005913267],"genre_scores_gemma":[0.0001485382,0.00002943988,0.0001787255,0.00003962688,0.000003004285,0.00004145647,0.9989654,0.0001368511,0.000457031],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8226222,"threshold_uncertainty_score":0.5933878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}