{"id":"W6924639586","doi":"10.15468/dl.vj4hpk","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); 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":[0.0008026218,0.00176983,0.001498168,0.004604525,0.001068537,0.002756496,0.002743234,0.001962966,0.176723],"category_scores_gemma":[0.005989561,0.0008921441,0.001201349,0.009505541,0.0003971556,0.002650628,0.002614986,0.002073285,0.2380481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661903,"about_ca_system_score_gemma":0.002335435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02334755,"about_ca_topic_score_gemma":0.04003961,"domain_scores_codex":[0.9989716,0.0001315495,0.0001404625,0.0003668887,0.0002228714,0.0001666084],"domain_scores_gemma":[0.9976143,0.0006354118,0.0001970174,0.00060416,0.0006881233,0.0002609807],"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":[0.00002607764,0.000009724875,0.0003498716,0.0004757792,0.00001184632,0.00001422414,0.00002167035,0.00009858957,0.00008156932,0.0003796721,0.9970608,0.00147009],"study_design_scores_gemma":[0.00006257695,0.000006544155,0.001466012,0.0001731221,0.00001091871,0.00003360118,0.00007327655,0.0001553102,0.0001529993,0.0007649933,0.997085,0.00001556611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000040682,0.00002610241,0.00005201858,0.00004250815,0.00001384574,0.000005740236,0.9985365,0.0004559104,0.0008267261],"genre_scores_gemma":[0.0001762912,0.00003933149,0.000243773,0.00005618174,0.000004341382,0.00004450118,0.9985991,0.0001935999,0.0006429133],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.823277,"threshold_uncertainty_score":0.5911974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500572570597419,"score_gpt":0.1831673479706363,"score_spread":0.1681616222646621,"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."}}