{"id":"W6886934466","doi":"10.15468/dl.2ypn6t","title":"Occurrence Download","year":2024,"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); Set (abstract data type); 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":[0.001029816,0.001911735,0.001668469,0.005423784,0.0009646119,0.0024879,0.002808086,0.002019706,0.1564387],"category_scores_gemma":[0.006396525,0.0009067035,0.00119952,0.01057515,0.000444616,0.002238668,0.002490732,0.001941211,0.2106601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536458,"about_ca_system_score_gemma":0.0023112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000784,"about_ca_topic_score_gemma":0.0327973,"domain_scores_codex":[0.9989105,0.0001520616,0.0001496014,0.000366329,0.000242028,0.0001795852],"domain_scores_gemma":[0.9973716,0.0007496647,0.0002498876,0.0006672426,0.00066475,0.0002968437],"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":[0.00003285793,0.00001182717,0.0004025642,0.0006208901,0.00001682911,0.00001557041,0.00002313187,0.0001322161,0.0001267692,0.0003861825,0.99672,0.00151115],"study_design_scores_gemma":[0.00008088633,0.000008896949,0.002026496,0.000210981,0.00001592828,0.00003674164,0.00006914656,0.0001438044,0.0001846921,0.000769882,0.9964346,0.00001802766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004014328,0.00002740723,0.00003826971,0.00003231475,0.00001039502,0.000005142472,0.9990068,0.0003046663,0.0005349501],"genre_scores_gemma":[0.0001544433,0.00003423315,0.000174364,0.00004114961,0.000003485696,0.00004226165,0.9990202,0.0001204374,0.0004093898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8435613,"threshold_uncertainty_score":0.5233396,"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."}}