{"id":"W4395261523","doi":"10.15468/dl.5ug4jj","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0009496681,0.002006691,0.001665776,0.004875818,0.001093358,0.002680304,0.003021684,0.002282111,0.138989],"category_scores_gemma":[0.005944466,0.0009182548,0.001448131,0.008767858,0.000435561,0.002364389,0.002504035,0.002123446,0.2066148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654124,"about_ca_system_score_gemma":0.00242352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01754442,"about_ca_topic_score_gemma":0.02901133,"domain_scores_codex":[0.9989248,0.0001519515,0.0001381816,0.0003965861,0.0002126364,0.0001758767],"domain_scores_gemma":[0.9977743,0.0006291103,0.000193246,0.0005876151,0.0005679039,0.0002477384],"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":[0.00003363689,0.00001340125,0.0004597716,0.0006250497,0.00001739053,0.00001804109,0.00002241078,0.0001403403,0.000121371,0.0003722485,0.9964896,0.001686737],"study_design_scores_gemma":[0.00008403254,0.00001026676,0.001879037,0.0002045184,0.00001827436,0.00004935022,0.00007115146,0.0002388382,0.0002235124,0.0009165006,0.9962853,0.00001926554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005712947,0.00004109544,0.00005904935,0.00004732344,0.00001491491,0.000007686067,0.9985257,0.0005331897,0.000713919],"genre_scores_gemma":[0.0001882943,0.00004139243,0.000238195,0.00006140727,0.000004213026,0.00005219282,0.9987949,0.0001532589,0.0004660265],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.861011,"threshold_uncertainty_score":0.4649644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800100390821396,"score_gpt":0.2287529204927818,"score_spread":0.2107519165845679,"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."}}