{"id":"W6962330360","doi":"10.15468/dl.uagv84","title":"Occurrence Download","year":2023,"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); Set (abstract data type); Order (exchange)","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":[0.0009208925,0.001853096,0.001544876,0.004889622,0.001012067,0.002687064,0.002744219,0.002003453,0.1651066],"category_scores_gemma":[0.006063833,0.0008922567,0.001217442,0.009922314,0.0004324193,0.002501199,0.002545315,0.002044142,0.2545215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660627,"about_ca_system_score_gemma":0.002375371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121527,"about_ca_topic_score_gemma":0.03574279,"domain_scores_codex":[0.9989496,0.0001425104,0.0001370853,0.0003762761,0.0002252769,0.0001692372],"domain_scores_gemma":[0.9975033,0.0006606799,0.0002116852,0.0006901978,0.0006669904,0.0002671189],"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":[0.00002740385,0.0000106489,0.0003533443,0.0004939281,0.00001187611,0.00001313174,0.00002109406,0.0001140581,0.00008763345,0.0003575499,0.9969057,0.001603694],"study_design_scores_gemma":[0.00006119008,0.000007773298,0.00154517,0.000179181,0.0000111464,0.00003144666,0.00006965783,0.0001585832,0.0001460324,0.0007991399,0.9969751,0.00001573285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000375798,0.00002594992,0.00004568508,0.00003946154,0.00001255871,0.000005608425,0.998728,0.0004094795,0.0006955982],"genre_scores_gemma":[0.000141966,0.00003613987,0.0002289205,0.00004743661,0.000003899885,0.00004349986,0.9988091,0.0001480939,0.0005408961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8348933,"threshold_uncertainty_score":0.5523367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}