{"id":"W4200050746","doi":"10.1007/s11749-021-00795-7","title":"Weight smoothing for nonprobability surveys","year":2021,"lang":"en","type":"article","venue":"Test","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"Agencia Estatal de Investigación; Ministerio de Ciencia e Innovación; Universidad de Granada; Ministerio de Ciencia, Innovación y Universidades","keywords":"Covariate; Statistics; Smoothing; Propensity score matching; Econometrics; Mathematics; Context (archaeology); Weighting; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03092865,0.0007487058,0.001226447,0.002280443,0.0007717046,0.00146258,0.002594674,0.001426307,0.004230428],"category_scores_gemma":[0.1851463,0.0005754865,0.001097454,0.002917432,0.001810451,0.002584992,0.001878966,0.002176451,0.0006043299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123556,"about_ca_system_score_gemma":0.001478027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00491597,"about_ca_topic_score_gemma":0.002851444,"domain_scores_codex":[0.9723265,0.02269467,0.000787433,0.001570998,0.002185759,0.0004347246],"domain_scores_gemma":[0.8597455,0.1093964,0.007063387,0.01907327,0.00413499,0.000586535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000464971,0.0003422645,0.0249517,0.0006189267,0.000542898,0.000268644,0.001081745,0.1414264,0.001460685,0.4179974,0.005257296,0.4055871],"study_design_scores_gemma":[0.00008536132,0.0002813719,0.008190949,0.0001516123,0.00008830849,0.0001175942,0.0001695226,0.6241436,0.001477423,0.3569226,0.008326462,0.0000451637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0241063,0.0001980417,0.9733699,0.0003868064,0.00007130132,0.000167475,0.00009918022,0.0003932321,0.001207614],"genre_scores_gemma":[0.6634974,0.0004324409,0.3304997,0.0003458368,0.0001796514,0.0008030742,0.0005223394,0.0001700449,0.003549554],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03092865,"threshold_uncertainty_score":0.1635683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08590275468868451,"score_gpt":0.284628979366214,"score_spread":0.1987262246775294,"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."}}