{"id":"W6905776359","doi":"10.15468/dl.wnaje3","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); State (computer science); Identification (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005601686,0.0001562212,0.0001596382,0.0001143003,0.001453401,0.0001079246,0.0007626505,0.0003692257,0.07715856],"category_scores_gemma":[0.0003030264,0.0001883021,0.000101131,0.0005009212,0.0003811946,0.0006645901,0.0002860252,0.0003844902,0.05468341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008183992,"about_ca_system_score_gemma":0.0005710828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00538633,"about_ca_topic_score_gemma":0.0002356371,"domain_scores_codex":[0.9984986,0.0001575288,0.0002443,0.0001833764,0.0006114686,0.0003046941],"domain_scores_gemma":[0.9990762,0.00002272002,0.000234088,0.0003772919,0.0001736897,0.0001159955],"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":[0.000008188454,0.00004035818,0.001245377,0.00002565685,0.00001554428,6.114342e-7,0.0008599977,0.000001686654,2.770155e-9,0.000002627212,0.9960943,0.001705677],"study_design_scores_gemma":[0.0001064512,0.00001658291,0.00006469389,3.342638e-7,0.00003198924,0.000001016749,0.007261341,4.26251e-9,2.129658e-7,0.00001150752,0.9923264,0.0001794397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003025124,0.00002076307,0.000001147902,0.00101916,0.001656321,0.0003053206,0.9953397,0.0001610578,0.001194021],"genre_scores_gemma":[0.00006277583,0.00015073,7.399468e-7,0.0004091057,0.000002041817,0.0000109263,0.9993632,6.828891e-9,4.544345e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02247516,"threshold_uncertainty_score":0.9998466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214566974098118,"score_gpt":0.2662172278739329,"score_spread":0.2440715581329518,"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."}}