{"id":"W3048692611","doi":"","title":"An assessment of accuracy improvement by adaptive survey design : [Une évaluation de l’amélioration de l’exactitude au moyen d’un plan de sondage adaptatif]","year":2019,"lang":"fr","type":"article","venue":"Survey methodology","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.1214125,0.001507355,0.00125215,0.002219487,0.0006493853,0.001348669,0.001944832,0.00311606,0.002951922],"category_scores_gemma":[0.2722535,0.000797995,0.002528667,0.002705694,0.00180175,0.002868477,0.00244184,0.001203002,0.0004689919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228072,"about_ca_system_score_gemma":0.001159188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507443,"about_ca_topic_score_gemma":0.001107668,"domain_scores_codex":[0.8315322,0.1424855,0.007110816,0.004402666,0.01373026,0.0007384463],"domain_scores_gemma":[0.557926,0.3791631,0.01561163,0.02693196,0.01966915,0.0006981578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01698755,0.001620731,0.07800362,0.003626007,0.004994172,0.0002036454,0.001805325,0.126117,0.007758791,0.008448161,0.005060878,0.7453742],"study_design_scores_gemma":[0.006933583,0.06135435,0.2194549,0.001781928,0.007123976,0.001556213,0.0009327394,0.6112311,0.03352243,0.0274518,0.02782859,0.0008283235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2856645,0.005915802,0.6918842,0.001596468,0.0008020562,0.004316548,0.001036128,0.001289716,0.007494725],"genre_scores_gemma":[0.6364125,0.001046657,0.3562319,0.0008803728,0.000236056,0.003078286,0.0006970714,0.000225076,0.001192085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1214125,"threshold_uncertainty_score":0.6420984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4336167277882685,"score_gpt":0.4782844676439482,"score_spread":0.04466773985567962,"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."}}