{"id":"W6906077514","doi":"10.15468/dl.ysu2jk","title":"Occurrence Download","year":2015,"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); Data set; Set (abstract data type)","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":[0.001105319,0.001951287,0.001667291,0.005788174,0.0009676616,0.002645666,0.002982083,0.001953162,0.1509276],"category_scores_gemma":[0.006320525,0.0009179683,0.001214436,0.01135487,0.0004475306,0.002206328,0.002737709,0.002005457,0.2022882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167185,"about_ca_system_score_gemma":0.002682326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373388,"about_ca_topic_score_gemma":0.03833556,"domain_scores_codex":[0.9988275,0.000151603,0.0001595835,0.0003932964,0.0002716174,0.0001964212],"domain_scores_gemma":[0.9973685,0.0006995493,0.0002693226,0.0007031004,0.0006444599,0.0003152056],"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":[0.00002965707,0.00001107765,0.0004022217,0.0005448389,0.00001756406,0.00001520285,0.00002364017,0.0001178326,0.0001243137,0.0004075232,0.9969216,0.001384567],"study_design_scores_gemma":[0.00007414365,0.0000079308,0.002131065,0.0002063064,0.00001691847,0.0000408237,0.00006693224,0.0001345923,0.0002113091,0.0007415786,0.9963504,0.0000178738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004196183,0.00002830204,0.00004313835,0.00003111002,0.00001033581,0.000005054291,0.9989016,0.0003479122,0.0005906285],"genre_scores_gemma":[0.0001404009,0.00003106309,0.0001510775,0.00003661592,0.000002749244,0.00003323299,0.9991177,0.0001159554,0.0003712637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8490723,"threshold_uncertainty_score":0.5049032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}