{"id":"W6924615445","doi":"10.15468/dl.wtpsbx","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); Confidentiality; 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":[0.001146177,0.001955929,0.001590009,0.005090467,0.001060277,0.00272251,0.002965774,0.002108392,0.1666176],"category_scores_gemma":[0.006746153,0.001000102,0.0011658,0.009885403,0.000459616,0.002356301,0.002608349,0.002114448,0.2319475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623145,"about_ca_system_score_gemma":0.00245622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02048028,"about_ca_topic_score_gemma":0.03322893,"domain_scores_codex":[0.9988253,0.0001609404,0.000154162,0.0004066637,0.0002695956,0.0001834157],"domain_scores_gemma":[0.9971532,0.0008256714,0.0002581372,0.0007431312,0.0007102946,0.0003095413],"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":[0.00002752238,0.00001115013,0.0003448376,0.0005178943,0.00001492982,0.00001408114,0.00002338754,0.000115171,0.0001160382,0.0003879527,0.997125,0.00130206],"study_design_scores_gemma":[0.00006938943,0.000007319978,0.001719818,0.0001830387,0.00001429841,0.00003571634,0.00007071511,0.000140436,0.00018719,0.0007503292,0.9968039,0.00001786656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003565903,0.00002315066,0.00004603895,0.00003311877,0.0000112204,0.000004873544,0.9989004,0.000352088,0.0005934328],"genre_scores_gemma":[0.0001454813,0.00002971566,0.0001917118,0.00004031086,0.000003223503,0.00004097063,0.9989634,0.0001534298,0.0004318092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8333824,"threshold_uncertainty_score":0.5573915,"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."}}