{"id":"W6961704201","doi":"10.15468/dl.qda54q","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); Measure (data warehouse); Range (aeronautics); 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":[0.001137485,0.001997686,0.00161055,0.005092628,0.001023184,0.002713329,0.002883866,0.0020601,0.1712989],"category_scores_gemma":[0.006486413,0.0009687393,0.001156627,0.01020645,0.0004664831,0.002333441,0.002612381,0.002004586,0.2420074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165159,"about_ca_system_score_gemma":0.002430916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02255285,"about_ca_topic_score_gemma":0.03540693,"domain_scores_codex":[0.9988704,0.0001543458,0.0001413878,0.0003909206,0.0002604438,0.0001825119],"domain_scores_gemma":[0.9973052,0.0007490116,0.0002487364,0.0007249824,0.0006728943,0.0002992547],"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":[0.00002651344,0.0000102074,0.000334504,0.0004746444,0.00001420528,0.00001371134,0.00002334029,0.0001122255,0.0001099205,0.0003888446,0.9972281,0.001263827],"study_design_scores_gemma":[0.00006479516,0.000006849913,0.001676913,0.0001727627,0.00001329304,0.00003408963,0.00006822209,0.0001291416,0.0001814963,0.0007470552,0.9968882,0.0000172028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003599356,0.00002456986,0.00004581948,0.00003390291,0.00001102447,0.000004856722,0.9988055,0.0003696198,0.0006686902],"genre_scores_gemma":[0.0001493223,0.00003112365,0.0001893467,0.00004213903,0.000003230395,0.00004032724,0.9989079,0.0001677583,0.0004688607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287011,"threshold_uncertainty_score":0.573052,"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."}}