{"id":"W6961872354","doi":"10.15468/dl.uddx2d","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":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); 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":[0.0008523631,0.001992623,0.00149053,0.005025788,0.0009144394,0.002466678,0.00267215,0.001757696,0.1680813],"category_scores_gemma":[0.005102853,0.0009533397,0.001125062,0.009999857,0.0004218738,0.002314818,0.002516009,0.001859624,0.2269771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437423,"about_ca_system_score_gemma":0.002166841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01883559,"about_ca_topic_score_gemma":0.03459417,"domain_scores_codex":[0.9990143,0.0001281769,0.0001261413,0.0003598665,0.0002067738,0.0001648765],"domain_scores_gemma":[0.9977628,0.0005811545,0.0002233748,0.0006030193,0.0005603369,0.0002692513],"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":[0.00003264429,0.00001152941,0.0004030831,0.0005434351,0.00001530887,0.00001458973,0.00002294018,0.0001266389,0.0001401184,0.0004149523,0.9967231,0.001551746],"study_design_scores_gemma":[0.00006493615,0.000007497474,0.001727252,0.0001536358,0.00001299274,0.00003329801,0.00005846313,0.0001241791,0.0001807222,0.0007697012,0.9968502,0.00001712192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004140148,0.00002294524,0.0000417404,0.00002732397,0.00001077397,0.000004596625,0.9988274,0.0003368599,0.0006868411],"genre_scores_gemma":[0.000151895,0.00003112135,0.0002029156,0.00004388483,0.000003511559,0.00003738115,0.9988769,0.0001489439,0.0005034411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8319187,"threshold_uncertainty_score":0.562288,"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."}}