{"id":"W7143957586","doi":"10.57486/00000763","title":"２０１６年大統領選挙における、トランプの営業技術 : 予備選でのマーケティング戦略の観点から","year":2023,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Organizational Leadership and Management Strategies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer","keywords":"Marketing research; Digital marketing; Marketing strategy; Business marketing; Marketing management; Return on marketing investment","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003834266,0.0003537321,0.0004389595,0.005159907,0.002570682,0.01006218,0.0007562808,0.001230989,0.05194231],"category_scores_gemma":[0.01381557,0.0004383,0.0003032205,0.006008637,0.002941417,0.01232269,0.001913738,0.002099168,0.02766195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00222588,"about_ca_system_score_gemma":0.002315846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007053558,"about_ca_topic_score_gemma":0.008268434,"domain_scores_codex":[0.9970016,0.0005930053,0.0003189352,0.0004076332,0.001493932,0.000184934],"domain_scores_gemma":[0.9912735,0.003209894,0.0008105469,0.001150206,0.003064784,0.0004911445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001870494,0.00009755163,0.009172408,0.0005019318,0.00002741334,0.0006095547,0.003194586,0.0002556455,0.003136202,0.09705936,0.4082738,0.4774844],"study_design_scores_gemma":[0.00001698225,0.00003869122,0.006804346,0.0002804652,0.00002558614,0.001326421,0.002400103,0.0007801868,0.006503848,0.02694434,0.9548057,0.00007312347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06119103,0.02991925,0.1354292,0.09574652,0.00930627,0.0003846604,0.01562629,0.006076772,0.64632],"genre_scores_gemma":[0.4580868,0.04042449,0.1119585,0.0124522,0.00559456,0.0004307205,0.01662224,0.003576611,0.3508538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05194231,"threshold_uncertainty_score":0.1737643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181004806878593,"score_gpt":0.2483222808726232,"score_spread":0.2165122328038373,"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."}}