{"id":"W6924311007","doi":"10.15468/dl.ckn46k","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); Metis; Column (typography); clone (Java method)","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":["insufficient_payload"],"category_scores_codex":[0.0007935552,0.002803241,0.002117634,0.007627989,0.001248378,0.003648345,0.002449198,0.002366896,0.3785376],"category_scores_gemma":[0.005664947,0.0008800807,0.001848172,0.01118697,0.0003917862,0.003267668,0.00345662,0.001940651,0.4846232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550775,"about_ca_system_score_gemma":0.002400541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148277,"about_ca_topic_score_gemma":0.03635889,"domain_scores_codex":[0.998745,0.0001368926,0.0001676409,0.0004539065,0.0002670537,0.0002294854],"domain_scores_gemma":[0.9975454,0.0006423231,0.0001839306,0.0005912224,0.0006698568,0.000367135],"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":[0.0000513891,0.00001632402,0.0003121936,0.000618714,0.00001345369,0.00002008026,0.00002457685,0.0001135846,0.000120698,0.0004209416,0.9943284,0.003959667],"study_design_scores_gemma":[0.00007947685,0.00001387759,0.00138372,0.0001908228,0.00001564104,0.00004474911,0.00007813156,0.0002850726,0.0001500866,0.001045529,0.9966893,0.00002359944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005809874,0.00006533606,0.0001073109,0.00005907577,0.00003085427,0.00001120332,0.9956284,0.001607499,0.002432188],"genre_scores_gemma":[0.0002393139,0.00007933563,0.0005040435,0.0001021371,0.00001004377,0.00005081966,0.997044,0.000393928,0.00157632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6214624,"threshold_uncertainty_score":0.8864407,"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."}}