{"id":"W4285798529","doi":"10.1051/ro/2022120","title":"Effects of consumer loyalty and product web compatibility on cooperative advertising and pricing policies in a dual-channel supply chain","year":2022,"lang":"en","type":"article","venue":"RAIRO. Operations research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Business; Advertising; Supply chain; Loyalty; Compatibility (geochemistry); Channel (broadcasting); Marketing; Telecommunications; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001814552,0.0001513775,0.0002468827,0.0008196345,0.0008420834,0.0002065236,0.0001088597,0.00002366262,0.0001197897],"category_scores_gemma":[0.0005459505,0.0001435361,0.00002400172,0.0009406816,0.0002633617,0.0004016038,0.0006421171,0.0003604168,0.000007977386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240032,"about_ca_system_score_gemma":0.0000663652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003343512,"about_ca_topic_score_gemma":0.001323242,"domain_scores_codex":[0.9980903,0.0002787315,0.0003092012,0.0004399202,0.0005280835,0.0003538054],"domain_scores_gemma":[0.9992654,0.0002320652,0.00003749545,0.000237548,0.0002042691,0.00002327797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002033261,0.008747079,0.3275627,0.01070137,0.00057496,0.0004110704,0.04184345,0.1802189,0.1140525,0.232224,0.05572476,0.02590603],"study_design_scores_gemma":[0.007767693,0.0007522755,0.3423586,0.0006686391,0.00006656792,0.00001457835,0.01744654,0.5965639,0.007830727,0.000829028,0.02459798,0.001103489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938818,0.0005155474,0.00002392829,0.00222774,0.00009096346,0.001626753,0.000009915962,0.00002705375,0.001596358],"genre_scores_gemma":[0.9984439,0.00006490292,0.00003232153,0.0004276329,0.00009846571,0.000282441,0.00002799133,0.00001885765,0.0006034876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4163451,"threshold_uncertainty_score":0.6476709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03654838868445758,"score_gpt":0.3076920225933681,"score_spread":0.2711436339089106,"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."}}