{"id":"W3208611640","doi":"10.5281/zenodo.3633683","title":"National Statistical Offices and Central Banks Web Archive collection derivatives","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Business; World Wide Web; Database; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003178773,0.0002224472,0.0002511978,0.0002496689,0.001466942,0.0005458578,0.0003744601,0.00012981,0.006853693],"category_scores_gemma":[0.003039099,0.0002366965,0.00004193072,0.0003398987,0.0001804402,0.0001652204,0.0005111438,0.00043166,0.001276289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643703,"about_ca_system_score_gemma":0.00002150489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001969245,"about_ca_topic_score_gemma":0.000005421336,"domain_scores_codex":[0.9978582,0.0004238829,0.0003874507,0.0004479802,0.0005949925,0.0002874816],"domain_scores_gemma":[0.9986677,0.0002199358,0.0002583752,0.0002022714,0.0004501919,0.0002015855],"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":[0.00007255792,0.00009678087,0.000001008462,0.0002795928,0.00005756077,0.000006026224,0.0003241869,0.00001498335,0.0000524211,0.0117293,0.9845429,0.002822651],"study_design_scores_gemma":[0.0004083845,0.0001555653,0.0008602273,0.00005444581,0.00004595784,0.00006180164,0.00005071832,0.002573637,0.00000575886,0.005164046,0.9903886,0.0002308778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002039168,0.00001949251,0.005955783,0.0004730761,0.0001208341,0.000526312,0.9882282,0.0003082905,0.004164064],"genre_scores_gemma":[0.003161696,0.0001330288,0.002298738,0.0001035058,0.0002785413,1.139885e-7,0.9934409,0.0004945567,0.00008888589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006565249,"threshold_uncertainty_score":0.999833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06428389498401774,"score_gpt":0.3048292754748104,"score_spread":0.2405453804907927,"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."}}