{"id":"W6924604638","doi":"10.15468/dl.se2e39","title":"Occurrence Download","year":2022,"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); Data set; Set (abstract data type)","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":[0.0009627403,0.001879258,0.001527516,0.004932143,0.0009486385,0.002474236,0.002579161,0.001923908,0.146706],"category_scores_gemma":[0.006057956,0.0009066607,0.001135515,0.01014223,0.0004176885,0.002139011,0.00238583,0.001937757,0.2090096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640246,"about_ca_system_score_gemma":0.002438362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02609237,"about_ca_topic_score_gemma":0.04246746,"domain_scores_codex":[0.9989574,0.0001403863,0.0001318427,0.0003605699,0.0002444346,0.0001653669],"domain_scores_gemma":[0.9974274,0.0007339471,0.0002406996,0.0006567964,0.0006607449,0.0002804299],"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":[0.00002641454,0.00001090974,0.0003880849,0.0004792349,0.00001408325,0.00001426438,0.00002414908,0.0001370145,0.0001014318,0.0003757639,0.9970855,0.001343162],"study_design_scores_gemma":[0.00007004545,0.000007726974,0.002044278,0.0001787972,0.00001356499,0.00003399885,0.0000793684,0.0001650692,0.0001661205,0.0007248563,0.9964994,0.00001672537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004148254,0.0000232259,0.00004040618,0.00003313815,0.00001056808,0.000004874373,0.9989017,0.000337646,0.000606884],"genre_scores_gemma":[0.0001506883,0.00002914656,0.0001891037,0.00003652821,0.000003099522,0.00004057392,0.998958,0.0001359805,0.0004568982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.853294,"threshold_uncertainty_score":0.4907805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}