{"id":"W6924163571","doi":"10.15468/dl.mmwqcf","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; Set (abstract data type)","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":[0.00109877,0.00199824,0.00166657,0.00547434,0.001072376,0.002908112,0.002932882,0.002077429,0.1800055],"category_scores_gemma":[0.006664968,0.001007242,0.001191402,0.01074973,0.0004730395,0.002539378,0.002762947,0.002118484,0.24361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657925,"about_ca_system_score_gemma":0.00247063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02270613,"about_ca_topic_score_gemma":0.03662009,"domain_scores_codex":[0.9988299,0.0001558479,0.0001540851,0.0004061599,0.0002641724,0.0001897792],"domain_scores_gemma":[0.9971751,0.0008146287,0.0002586808,0.0007497965,0.0006763613,0.0003253982],"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":[0.00002658468,0.000009650386,0.0003226229,0.0004818997,0.00001338726,0.00001376362,0.00002323263,0.0001043491,0.00009841807,0.0003731998,0.9972894,0.001243462],"study_design_scores_gemma":[0.00006611038,0.000006882457,0.001642728,0.0001860412,0.00001328712,0.00003469442,0.00007324112,0.00012848,0.0001582817,0.000753852,0.9969195,0.00001695318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003342274,0.0000223156,0.00004313234,0.00003288923,0.00001120266,0.000004557228,0.9988845,0.0003530365,0.0006149606],"genre_scores_gemma":[0.0001389666,0.0000314256,0.0001851592,0.00004244057,0.000003249288,0.00003782559,0.9989229,0.0001675084,0.000470499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8199945,"threshold_uncertainty_score":0.6021783,"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."}}