{"id":"W6962540778","doi":"10.15468/dl.zhu46h","title":"Occurrence Download","year":2023,"lang":"fr","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Floristics; Centralisation; Download; Flora (microbiology); Vascular plant; Matching (statistics)","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":[0.0009390349,0.002251513,0.001775131,0.00585031,0.001103643,0.00298484,0.002963481,0.002460917,0.1520297],"category_scores_gemma":[0.005979639,0.0009641631,0.001618362,0.009467818,0.0004020919,0.002929741,0.00302848,0.001970761,0.2266871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681284,"about_ca_system_score_gemma":0.002058995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006664,"about_ca_topic_score_gemma":0.03167341,"domain_scores_codex":[0.9987869,0.0001368141,0.0001713998,0.0004365975,0.0002633285,0.0002049457],"domain_scores_gemma":[0.9976261,0.0006349868,0.0002228486,0.0006437936,0.0006087328,0.0002634357],"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":[0.00005480053,0.00001757472,0.0006583356,0.0007508307,0.00002274329,0.00002937687,0.00003294399,0.0001719922,0.0001923233,0.0004283922,0.994981,0.002659769],"study_design_scores_gemma":[0.00007915148,0.00001256539,0.002368262,0.0002121371,0.00001796199,0.00005662088,0.00009079566,0.0002862962,0.000222475,0.0007684116,0.995865,0.00002035581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006944701,0.00003813898,0.00007136671,0.00004373528,0.00001728023,0.000007915437,0.9982134,0.0007964011,0.0007422977],"genre_scores_gemma":[0.0001868691,0.00003595446,0.0002856545,0.00004999658,0.000004271712,0.00004148999,0.9988019,0.0001837211,0.0004102005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8479703,"threshold_uncertainty_score":0.50859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02423482867331424,"score_gpt":0.2365896343464101,"score_spread":0.2123548056730959,"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."}}