{"id":"W4384695247","doi":"10.22215/etd/2023-15540","title":"Our Man in Havana: Explaining the Causes, Conduct, and Consequences of Foreign Electoral Intervention","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada; Ministère de la Défense Nationale","keywords":"Veto; Legislature; Political science; Democracy; Victory; Foreign policy; Polarization (electrochemistry); Political economy; Psychological intervention; Intervention (counseling); Politics; Law; Sociology; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00268377,0.0001318521,0.0003555239,0.0003560721,0.0002416828,0.00009257596,0.0002869793,0.0001115438,0.0002665776],"category_scores_gemma":[0.001091655,0.00009492949,0.0001035595,0.0007641627,0.0003230429,0.0001689774,0.00002764065,0.0002773628,0.00002483092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008634963,"about_ca_system_score_gemma":0.0002573613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04302974,"about_ca_topic_score_gemma":0.5232865,"domain_scores_codex":[0.9969391,0.001577065,0.0004190968,0.000261049,0.0005472297,0.0002565193],"domain_scores_gemma":[0.9986336,0.0006233152,0.000255679,0.0001090692,0.0003320246,0.0000463753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003341722,0.0001691664,0.07499013,0.0005104117,0.0008104031,0.00003725881,0.3284587,0.00001652621,0.008255354,0.5562022,0.0236023,0.006613344],"study_design_scores_gemma":[0.000210273,0.0001084409,0.02272673,0.0002378265,0.00003482906,1.694771e-7,0.9547166,0.00005349524,0.002912826,0.01814922,0.0006809148,0.000168657],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707442,0.0006971491,0.00002512955,0.0005627457,0.0001208386,0.0004589406,0.000009084953,0.00002564744,0.02735626],"genre_scores_gemma":[0.9695775,0.000213264,0.00003293154,0.00001288773,0.00003567267,0.00006484125,0.0001267517,0.0000108176,0.02992535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6262579,"threshold_uncertainty_score":0.9633428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3054251523711988,"score_gpt":0.537096450065369,"score_spread":0.2316712976941702,"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."}}