{"id":"W6946248185","doi":"10.34989/swp-2025-17","title":"Correcting Selection Bias in a Non-Probability Two-Phase Payment Survey","year":2025,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Selection (genetic algorithm); Selection bias; Calibration; Variance (accounting); Payment; Sample (material); Estimation; Sample size determination","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":[0.08609252,0.0006765028,0.001287427,0.001751404,0.001055121,0.002437114,0.003200213,0.001925615,0.005118027],"category_scores_gemma":[0.3462679,0.000987687,0.001411023,0.003114683,0.002062035,0.004215858,0.003200554,0.002127115,0.0007919416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143659,"about_ca_system_score_gemma":0.002892385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003770916,"about_ca_topic_score_gemma":0.003641997,"domain_scores_codex":[0.9361996,0.05144659,0.002038952,0.004731563,0.004768861,0.0008143319],"domain_scores_gemma":[0.7043849,0.2436042,0.01513969,0.02726415,0.008849874,0.0007572604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007692753,0.0005312889,0.1290895,0.0008163858,0.0008590406,0.0006254265,0.002794069,0.09547309,0.002665694,0.4004605,0.008107005,0.3578086],"study_design_scores_gemma":[0.0003891937,0.0006572867,0.03476366,0.0002622946,0.0002829396,0.0005381342,0.0005237329,0.5937579,0.004332909,0.3513634,0.01300966,0.0001188291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02216116,0.00005508849,0.9755331,0.0004197245,0.00004653223,0.000472196,0.0001968908,0.0002258669,0.0008893864],"genre_scores_gemma":[0.4089992,0.000124763,0.5856552,0.0005895005,0.0001019467,0.001953948,0.0006532879,0.0000829841,0.001839087],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08609252,"threshold_uncertainty_score":0.4553062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09431446954622,"score_gpt":0.4124850552878784,"score_spread":0.3181705857416584,"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."}}