{"id":"W6906059143","doi":"10.15468/dl.njsygk","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); State (computer science); Confidentiality","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":[0.001007692,0.001941456,0.001551308,0.005049022,0.0009930449,0.002453271,0.002837587,0.002071267,0.1505344],"category_scores_gemma":[0.005743972,0.0008782115,0.001151101,0.009632383,0.0004613465,0.002303792,0.002482911,0.002038768,0.2031682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541947,"about_ca_system_score_gemma":0.002221863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002534,"about_ca_topic_score_gemma":0.03411837,"domain_scores_codex":[0.9989781,0.0001470647,0.0001288542,0.0003584559,0.0002187467,0.0001688083],"domain_scores_gemma":[0.9975216,0.0007223524,0.0002413973,0.000659847,0.0005735562,0.0002812781],"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":[0.00003000283,0.00001278054,0.0004046891,0.0005599496,0.00001559779,0.0000155834,0.00002555113,0.0001441833,0.0001220879,0.0003950982,0.9968151,0.001459269],"study_design_scores_gemma":[0.0000752811,0.000008465894,0.001867999,0.0001943047,0.00001455363,0.00003833351,0.00007851652,0.0001614326,0.0001842732,0.0007912494,0.9965674,0.0000181915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004749641,0.0000286559,0.00004782471,0.0000364571,0.00001330065,0.00000534619,0.998831,0.0003613538,0.0006285433],"genre_scores_gemma":[0.000169888,0.00003298755,0.0002081659,0.00004357555,0.000003642747,0.00004313826,0.9989072,0.0001392069,0.0004522312],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8494656,"threshold_uncertainty_score":0.5035877,"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."}}