{"id":"W6924865983","doi":"10.15468/dl.pefpwi","title":"Occurrence Download","year":2016,"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; Confidentiality","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":[0.0009987758,0.001980749,0.001549109,0.004828287,0.0009995174,0.002549482,0.003056698,0.0021165,0.1336145],"category_scores_gemma":[0.006216603,0.0008850127,0.001213007,0.009707353,0.0004513536,0.002411932,0.002619856,0.002111023,0.207241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723574,"about_ca_system_score_gemma":0.002487259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02106462,"about_ca_topic_score_gemma":0.03448949,"domain_scores_codex":[0.9989125,0.0001471571,0.0001387421,0.0003715498,0.0002533813,0.0001766727],"domain_scores_gemma":[0.9974953,0.000650899,0.0002388865,0.0007008847,0.0006224275,0.0002916469],"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":[0.00002844964,0.0000127937,0.0003999194,0.0004523593,0.00001345559,0.00001525566,0.00002216732,0.0001278274,0.0001012449,0.0003719275,0.997048,0.001406597],"study_design_scores_gemma":[0.00007923463,0.000009302717,0.002032992,0.0001980561,0.000013516,0.00004507688,0.00007901218,0.0001839876,0.0001937401,0.0007926399,0.9963552,0.00001737038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006002009,0.0000344132,0.00004957239,0.0000448389,0.00001467524,0.000006307931,0.9986312,0.0004369316,0.0007220852],"genre_scores_gemma":[0.0001609002,0.00003224071,0.0001795994,0.00004007935,0.000003281375,0.00003971292,0.9989886,0.0001189997,0.000436643],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8663855,"threshold_uncertainty_score":0.4469851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}