{"id":"W6924707776","doi":"10.15468/dl.n4qckw","title":"Occurrence Download","year":2020,"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; State (computer science)","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":[0.001088008,0.001971781,0.001684985,0.005569885,0.0009667192,0.002627793,0.002971571,0.002004437,0.1678441],"category_scores_gemma":[0.005977796,0.0009489779,0.00115033,0.0114017,0.0004518606,0.002469781,0.0025298,0.001994078,0.2196423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643737,"about_ca_system_score_gemma":0.002441004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02145917,"about_ca_topic_score_gemma":0.03312581,"domain_scores_codex":[0.9989052,0.0001411179,0.0001426375,0.0003736409,0.0002555115,0.0001818713],"domain_scores_gemma":[0.9974452,0.0006888251,0.0002430756,0.0006707884,0.0006465173,0.0003056664],"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":[0.00003076715,0.00001090273,0.0003517788,0.0005478043,0.00001498779,0.00001499882,0.00002276069,0.0001234798,0.0001240802,0.0004244015,0.9968265,0.001507531],"study_design_scores_gemma":[0.00005883753,0.000007081701,0.00167082,0.0001681538,0.00001335213,0.00003500824,0.00006424794,0.000128857,0.0001936857,0.0006993086,0.996944,0.00001661266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003648917,0.00002571931,0.00004124863,0.00003101427,0.00001071775,0.000004340518,0.9989195,0.0003253929,0.0006057484],"genre_scores_gemma":[0.0001404056,0.00003175983,0.0001682901,0.00003682554,0.000002858309,0.00003276515,0.999007,0.0001288608,0.0004512638],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8321559,"threshold_uncertainty_score":0.5614945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}