{"id":"W6976926091","doi":"10.6068/dp152cca8701464","title":"RANKING: United Nations Economic Commission for Europe. Gender Statistics [Archive]: Time Use by Activity | Selection 1: Sleep | Selection 2: Both sexes, 2006. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 054-003-066","year":2016,"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); Data collection; National accounts; Baseline (sea); Per capita; Economic data","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":[0.00209469,0.002190029,0.002130406,0.006188789,0.0007343059,0.003229124,0.002206852,0.001010201,0.1146066],"category_scores_gemma":[0.01250814,0.0008424689,0.001118607,0.02284236,0.0003507476,0.002972758,0.001705918,0.002341177,0.141919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002125882,"about_ca_system_score_gemma":0.005062731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06551772,"about_ca_topic_score_gemma":0.03785312,"domain_scores_codex":[0.9970955,0.000423178,0.0004257838,0.0005630272,0.001087692,0.0004048964],"domain_scores_gemma":[0.9924299,0.001114408,0.0008577787,0.0006628697,0.004598582,0.0003365081],"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":[0.00002122669,0.000007878675,0.000459597,0.0002352815,0.00001019761,0.000007122218,0.000009533125,0.0000552327,0.00001149324,0.0004160699,0.995839,0.002927384],"study_design_scores_gemma":[0.00006164406,0.00001238812,0.008134278,0.0005561583,0.00001559706,0.00002035094,0.0001136288,0.0001020201,0.00008342192,0.0006837685,0.9901972,0.00001955072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008778977,0.0001451186,0.0000889488,0.0001518868,0.0001127748,0.00003036707,0.9967954,0.00008455271,0.002503123],"genre_scores_gemma":[0.000647124,0.0004314966,0.0004879408,0.0001473613,0.00004821312,0.0002605117,0.9929479,0.0001483441,0.004881093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1146066,"threshold_uncertainty_score":0.3833972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630213411556073,"score_gpt":0.2930449363087039,"score_spread":0.2567428021931432,"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."}}