{"id":"W3120777265","doi":"10.22215/etd/2017-11832","title":"Three Essays on Identification and Estimation using Sample Combination in a Missing Data Context","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Missing data; Identification (biology); Context (archaeology); Econometrics; Sample (material); Computer science; Sample size determination; Attrition; Data mining; Statistics; Mathematics; Machine learning; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02803185,0.001132998,0.001581942,0.002403866,0.001662883,0.005179808,0.002088149,0.003545455,0.00603398],"category_scores_gemma":[0.1047108,0.0009318925,0.001977964,0.004656067,0.006885682,0.006341325,0.004847988,0.006709588,0.001991646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181551,"about_ca_system_score_gemma":0.002131802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054212,"about_ca_topic_score_gemma":0.0008448621,"domain_scores_codex":[0.9801803,0.0114402,0.001144621,0.00205419,0.004658284,0.0005224375],"domain_scores_gemma":[0.8809665,0.09614133,0.004311619,0.01029142,0.007323307,0.0009658619],"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":[0.0001338725,0.0002375878,0.00487577,0.001161288,0.0003318309,0.0002686509,0.003929737,0.008586476,0.0008407263,0.6300207,0.0636062,0.2860072],"study_design_scores_gemma":[0.00006485236,0.0001051849,0.00312436,0.001381909,0.0001154409,0.0003288253,0.0009773475,0.01296759,0.001064989,0.7778264,0.2019522,0.00009101639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006924356,0.01708632,0.8779898,0.05892529,0.005432316,0.0003150346,0.0003861361,0.0002252989,0.03271541],"genre_scores_gemma":[0.2396353,0.04336337,0.6082591,0.03318082,0.02360755,0.002435713,0.001354223,0.000726057,0.0474379],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02803185,"threshold_uncertainty_score":0.1482484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2431495817097143,"score_gpt":0.32865270765516,"score_spread":0.08550312594544573,"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."}}