{"id":"W6920452361","doi":"10.6068/dp150a25d169e35","title":"Map of Countries (2006). United Nations Economic Commission for Europe. Gender Statistics [Archive]: Time Use by Activity | Selection 1: All activities | Selection 2: Both sexes, 2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-003-066.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Official statistics; Time-use survey; Selection (genetic algorithm); National accounts; Data collection; Economic statistics; Economic data; Social statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.001264407,0.002591173,0.001969531,0.007156917,0.0008568746,0.003490358,0.002245262,0.001002859,0.1573374],"category_scores_gemma":[0.009225387,0.001100075,0.001231813,0.03600615,0.0003459852,0.003585808,0.001917326,0.002575957,0.1581441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002484332,"about_ca_system_score_gemma":0.005632179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1352552,"about_ca_topic_score_gemma":0.0757786,"domain_scores_codex":[0.9982008,0.0002416354,0.0002716171,0.0004179637,0.0005684032,0.0002995546],"domain_scores_gemma":[0.993722,0.0007511479,0.000528134,0.0004488439,0.004293474,0.0002563804],"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":[0.00001868161,0.000007740996,0.0004404197,0.0004124773,0.00001026124,0.000009012951,0.00002511146,0.00007905302,0.000014774,0.0004338661,0.995993,0.002555685],"study_design_scores_gemma":[0.00005576227,0.00001027864,0.007935331,0.0004852131,0.000015889,0.00002733189,0.0002633816,0.00009440872,0.00007419977,0.0005059121,0.99051,0.00002226475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006823737,0.00009488688,0.000049676,0.00006253012,0.00008859963,0.00001731017,0.9972723,0.00008615448,0.002260332],"genre_scores_gemma":[0.0007314533,0.0003760794,0.000567232,0.00007420206,0.00002869203,0.0001779287,0.9940667,0.0001349224,0.003842692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1573374,"threshold_uncertainty_score":0.526346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06165362865924735,"score_gpt":0.3019323426279569,"score_spread":0.2402787139687095,"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."}}