{"id":"W4401250396","doi":"10.2139/ssrn.4913531","title":"Exploring Market Dynamics: Canada’s Flanker Brands and American MVNOs","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Dynamics (music); Advertising; Business; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006379274,0.0001295514,0.0001665733,0.0012744,0.002153344,0.003385857,0.0005946296,0.0006483949,0.009773118],"category_scores_gemma":[0.003743112,0.00009838016,0.0002130648,0.002091911,0.0009497848,0.001245217,0.0006966116,0.000920123,0.0003497377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01243297,"about_ca_system_score_gemma":0.009075384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9535747,"about_ca_topic_score_gemma":0.9784993,"domain_scores_codex":[0.9997392,0.00002283423,0.000004906638,0.00003805141,0.00009904852,0.00009599463],"domain_scores_gemma":[0.9976527,0.0006455796,0.0003444898,0.00008072882,0.0008471429,0.0004292719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005111918,0.0002681744,0.7202924,0.0001036774,0.00008568059,0.0006333994,0.009110738,0.005448679,0.001225915,0.149554,0.03164018,0.08112606],"study_design_scores_gemma":[0.00003443752,0.00006640944,0.8842911,0.0001048534,0.0001076855,0.0001153273,0.03049444,0.01737894,0.0008081474,0.01489888,0.05162908,0.00007067981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303366,0.000609034,0.0004179204,0.003017804,0.00002460327,0.00001152,0.0009390623,0.00001489429,0.0646285],"genre_scores_gemma":[0.9943515,0.0001688778,0.0001125994,0.00008818987,0.000008651304,0.000001357085,0.000140238,0.000005634458,0.005122831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04642528,"threshold_uncertainty_score":0.09339732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03526517976336101,"score_gpt":0.1884940280970155,"score_spread":0.1532288483336545,"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."}}