{"id":"W4408394566","doi":"10.31542/xv31qj46","title":"Analyzing Lexus of Edmonton's Marketing Channels","year":2025,"lang":"en","type":"article","venue":"MacEwan University Student eJournal","topic":"Marketing and Advertising Strategies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Advertising","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009336687,0.0001566757,0.0002451405,0.0005713301,0.0004453372,0.0002382436,0.00044742,0.00005254761,0.0001754811],"category_scores_gemma":[0.0001037283,0.0001671356,0.0001405205,0.0006645566,0.00007289153,0.0004872313,0.0003222443,0.0002013297,0.00000919474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006881906,"about_ca_system_score_gemma":0.00004192984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000303268,"about_ca_topic_score_gemma":0.00007444455,"domain_scores_codex":[0.9989663,0.00004891855,0.0002270413,0.0002233576,0.0002555162,0.0002788921],"domain_scores_gemma":[0.9992759,0.00008851456,0.0002729425,0.0001598652,0.0001874484,0.00001532971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007572491,0.0003711607,0.91684,0.001005472,0.0006509571,0.0002616834,0.0003121491,0.001831483,0.00232805,0.02726686,0.0173741,0.03100079],"study_design_scores_gemma":[0.002853251,0.00002434794,0.8275121,0.001975403,0.0005526026,0.000007760917,0.01780887,0.003077862,0.0002087235,0.001048752,0.1442352,0.0006950815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7605119,0.0001755026,0.001515957,0.001034891,0.000569065,0.0001050418,0.000001505138,0.00009169137,0.2359945],"genre_scores_gemma":[0.9926908,0.00004090113,0.0001402817,0.0001268287,0.0002649014,1.438562e-7,0.000002499021,0.000008003631,0.006725651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2321789,"threshold_uncertainty_score":0.6815591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007501023616550967,"score_gpt":0.2236225576722102,"score_spread":0.2161215340556592,"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."}}