{"id":"W6961572053","doi":"10.15468/dl.v5yb3q","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005422366,0.0005923985,0.0004653162,0.0002765497,0.0003143228,0.0005354514,0.001035195,0.0006622922,0.003749874],"category_scores_gemma":[0.000265614,0.0006086723,0.0003407958,0.001015923,0.000352445,0.001934508,0.0009319888,0.000745434,0.9983792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280539,"about_ca_system_score_gemma":0.0003731173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006396096,"about_ca_topic_score_gemma":0.0000415402,"domain_scores_codex":[0.9970894,0.0001037737,0.0006739739,0.0004540145,0.001116604,0.0005622127],"domain_scores_gemma":[0.9978393,0.00002372629,0.0003967541,0.001002498,0.0004227929,0.0003149639],"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":[0.0000848136,0.00004389405,0.0003040239,0.0005727223,0.00009512567,0.00001088566,0.00005357607,0.000008543382,5.107096e-8,7.671946e-8,0.9982647,0.000561557],"study_design_scores_gemma":[0.0003171018,0.00003570332,0.0000294745,0.000008838975,0.0002198697,0.00001586464,0.000144279,2.280586e-7,0.000002138524,0.000002143691,0.9986448,0.0005795959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001668538,0.00006261816,5.608135e-7,0.0001121503,0.001594786,0.0005448019,0.9965381,0.0005794842,0.0004006598],"genre_scores_gemma":[0.00000591842,0.00004468216,9.129873e-7,0.0003680656,0.000002771635,0.000007003728,0.9995705,3.156834e-8,9.750062e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9946293,"threshold_uncertainty_score":0.9996365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}