{"id":"W6924639255","doi":"10.15468/dl.vrwvak","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","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":[0.0009971372,0.002073722,0.00159086,0.005260922,0.001075502,0.002595222,0.003038473,0.002260091,0.1336121],"category_scores_gemma":[0.005838774,0.0009131269,0.001321397,0.009336262,0.0004717638,0.002348964,0.002695048,0.00218869,0.2046157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713016,"about_ca_system_score_gemma":0.002407513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02017125,"about_ca_topic_score_gemma":0.03564928,"domain_scores_codex":[0.9989115,0.0001441104,0.0001368776,0.0003809731,0.0002505411,0.0001760622],"domain_scores_gemma":[0.9975457,0.0006816586,0.0002158157,0.0006647028,0.0006105892,0.0002814464],"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":[0.00003051914,0.00001545816,0.0004068568,0.0005576382,0.00001467702,0.00001732664,0.0000236089,0.0001272867,0.0001245048,0.0003585551,0.9968132,0.001510336],"study_design_scores_gemma":[0.00008095587,0.00001043744,0.002058256,0.0002048288,0.00001503297,0.00004595348,0.00008498176,0.0001851646,0.0002201295,0.0007541179,0.9963216,0.00001839599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005976022,0.00003487652,0.00005011869,0.00004333591,0.00001458342,0.000007674202,0.9986123,0.0004650535,0.0007123398],"genre_scores_gemma":[0.0001646213,0.00003526284,0.0002056394,0.00004611927,0.000003568917,0.00004925817,0.9989163,0.0001298737,0.0004493132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8663879,"threshold_uncertainty_score":0.446977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871684190617535,"score_gpt":0.2248312804511297,"score_spread":0.2061144385449543,"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."}}