{"id":"W6924787363","doi":"10.15468/dl.u7yw2e","title":"Occurrence Download","year":2022,"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; Order (exchange)","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":[0.001139822,0.001937187,0.001640403,0.005198714,0.001058235,0.002860756,0.002987244,0.00202189,0.1833651],"category_scores_gemma":[0.006688947,0.0009987387,0.0011446,0.01025648,0.0004577996,0.002433315,0.002673633,0.00206059,0.2417126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588444,"about_ca_system_score_gemma":0.002420419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02068417,"about_ca_topic_score_gemma":0.03346802,"domain_scores_codex":[0.9988624,0.0001544235,0.0001514985,0.0003941864,0.0002540984,0.0001834646],"domain_scores_gemma":[0.9972761,0.0008037175,0.000254505,0.0007050409,0.000657894,0.0003026848],"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":[0.00002681432,0.000009820536,0.0003221023,0.0005004369,0.00001387342,0.00001424248,0.00002287325,0.0001053231,0.0001037862,0.0003909818,0.9972397,0.00125022],"study_design_scores_gemma":[0.00006672736,0.000006895067,0.001586822,0.0001896722,0.00001408724,0.00003516167,0.00007034135,0.0001254876,0.0001762877,0.0007818158,0.9969295,0.00001731746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003223043,0.00002198568,0.0000455606,0.00003247284,0.00001102471,0.000004767841,0.9988862,0.0003375793,0.0006281966],"genre_scores_gemma":[0.0001443547,0.00003147689,0.000192096,0.00004281028,0.000003364715,0.00004116569,0.998897,0.0001680408,0.0004796717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8166349,"threshold_uncertainty_score":0.6134173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}