{"id":"W6905875375","doi":"10.15468/dl.uqj4l8","title":"Occurrence Download","year":2018,"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); Order (exchange); 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":[0.0009242438,0.002043388,0.001536329,0.005430488,0.001012222,0.002599034,0.002936718,0.002066344,0.1380492],"category_scores_gemma":[0.005462623,0.0008314066,0.001196395,0.01012564,0.0004506862,0.002347559,0.002709687,0.002067975,0.2101672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625101,"about_ca_system_score_gemma":0.002550734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02390633,"about_ca_topic_score_gemma":0.04302874,"domain_scores_codex":[0.9989765,0.0001379472,0.0001278951,0.0003418154,0.0002316805,0.0001843072],"domain_scores_gemma":[0.99763,0.0005705724,0.000227412,0.0006666487,0.0006094964,0.0002958192],"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":[0.00002967185,0.00001163467,0.0003672086,0.0004676318,0.00001468352,0.00001441765,0.00002154851,0.0001120331,0.0001037417,0.000373122,0.9971444,0.001339906],"study_design_scores_gemma":[0.00006942039,0.000007990403,0.00182543,0.0001714871,0.00001367508,0.00003705437,0.00006534891,0.0001406786,0.0001722637,0.0007617315,0.9967181,0.00001688789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004666754,0.00002973881,0.00004076934,0.00003664787,0.00001243695,0.000005424875,0.9987705,0.0003884971,0.0006693748],"genre_scores_gemma":[0.0001418356,0.00002996651,0.0001605048,0.00003891985,0.000003398396,0.00003105273,0.9990639,0.0001140101,0.0004164354],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8619508,"threshold_uncertainty_score":0.4618207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}