{"id":"W4396087693","doi":"10.15468/dl.dpbevt","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Morphological variations and asymmetry","field":"Mathematics","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":[0.0008968576,0.00213056,0.001517407,0.004790507,0.000963539,0.002586728,0.00282286,0.002112247,0.1582067],"category_scores_gemma":[0.00569652,0.0009079627,0.001138397,0.008818137,0.0004465175,0.002317771,0.002647482,0.002053677,0.2374184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749599,"about_ca_system_score_gemma":0.002150298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01949692,"about_ca_topic_score_gemma":0.03509051,"domain_scores_codex":[0.998984,0.0001255504,0.0001234324,0.0003475235,0.0002579869,0.0001615191],"domain_scores_gemma":[0.997691,0.0006060833,0.0002015103,0.0006465176,0.0005840515,0.0002708797],"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":[0.00002722175,0.00001301925,0.0003403321,0.0003875152,0.00001159571,0.00001539795,0.00002076833,0.0001284519,0.0001085867,0.0004067012,0.9969724,0.001567852],"study_design_scores_gemma":[0.00007304783,0.00000792376,0.001775493,0.0001545686,0.00001060256,0.00004195832,0.00007232704,0.0001966021,0.0002132255,0.0008949896,0.9965422,0.00001707844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005573816,0.00002829601,0.00006228041,0.00003872002,0.00001251273,0.000006149154,0.9984497,0.0005613406,0.0007852949],"genre_scores_gemma":[0.0001857548,0.00003174434,0.0002649587,0.00003949351,0.000003412076,0.00004399471,0.9987397,0.0001823801,0.0005086624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8417933,"threshold_uncertainty_score":0.5292542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03556886235935509,"score_gpt":0.2564812515659496,"score_spread":0.2209123892065946,"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."}}