{"id":"W6962600520","doi":"10.15468/dl.z5zs7x","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); Selection (genetic algorithm); Column (typography)","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":[0.001153623,0.001964956,0.00170651,0.005341984,0.001087841,0.002941306,0.00304107,0.002065198,0.1922313],"category_scores_gemma":[0.006921797,0.001029272,0.001180809,0.01052157,0.0004733284,0.002543907,0.002760221,0.002132833,0.2538953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634225,"about_ca_system_score_gemma":0.002457765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02177012,"about_ca_topic_score_gemma":0.03517164,"domain_scores_codex":[0.9988369,0.0001569279,0.000150553,0.0004088618,0.0002588631,0.0001879839],"domain_scores_gemma":[0.9972138,0.0008248609,0.0002552733,0.0007181482,0.0006802757,0.0003076336],"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":[0.00002577712,0.000009397599,0.0003150459,0.0005026135,0.00001366246,0.00001317115,0.00002363902,0.0001036601,0.00009917861,0.00038624,0.9972256,0.001281999],"study_design_scores_gemma":[0.00006306065,0.000006394278,0.001503985,0.0001872698,0.00001352282,0.00003214462,0.00006921354,0.0001223797,0.0001625065,0.0007862802,0.9970365,0.0000167709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003176202,0.0000228575,0.00004688091,0.00003298928,0.00001095745,0.000004729416,0.9988319,0.000367324,0.0006504814],"genre_scores_gemma":[0.0001458189,0.00003321707,0.0002063023,0.00004546345,0.00000344859,0.0000436343,0.9988164,0.0001967828,0.0005088881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8077687,"threshold_uncertainty_score":0.6430777,"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."}}