{"id":"W6943346458","doi":"10.15468/dl.x5gxat","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); Software; Data set","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":[0.001069995,0.002064431,0.001633737,0.005223177,0.001061877,0.002762483,0.003007981,0.002188439,0.1616867],"category_scores_gemma":[0.006363803,0.0009885489,0.001196946,0.009972279,0.0004773567,0.002557711,0.002667647,0.00212276,0.2253061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669084,"about_ca_system_score_gemma":0.002483123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02269391,"about_ca_topic_score_gemma":0.0390877,"domain_scores_codex":[0.9988238,0.0001613851,0.0001543946,0.0004120743,0.0002613266,0.0001869473],"domain_scores_gemma":[0.9972197,0.0007998344,0.0002518008,0.0007461436,0.0006654178,0.0003172465],"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":[0.00002729071,0.00001111249,0.0003378456,0.0004855808,0.00001382961,0.00001503673,0.0000231503,0.0001125647,0.0001050583,0.0003795697,0.997247,0.001241958],"study_design_scores_gemma":[0.00006976737,0.000007565745,0.001686875,0.0001793002,0.00001348359,0.00003940019,0.00007500875,0.0001480027,0.0001788206,0.0007755202,0.9968084,0.00001791421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003810641,0.00002369036,0.00004615315,0.00003567115,0.00001170479,0.000005000513,0.9988334,0.00038626,0.0006199138],"genre_scores_gemma":[0.0001409576,0.00002905223,0.0001904263,0.00004157593,0.000003129226,0.00003648274,0.9989808,0.0001501522,0.0004274211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8383133,"threshold_uncertainty_score":0.5408959,"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."}}