{"id":"W1997789066","doi":"10.1016/j.indmarman.2012.06.013","title":"Franchisor–franchisee supply chain cooperation: Sharing of demand forecast information in high-tech industries","year":2012,"lang":"en","type":"article","venue":"Industrial Marketing Management","topic":"Franchising Strategies and Performance","field":"Business, Management and Accounting","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Order (exchange); High tech; Business; Industrial organization; Franchise; Information sharing; Profit sharing; Profit (economics); Supply chain; Marketing; Microeconomics; Economics; Finance; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00275722,0.0003035619,0.0003719913,0.0006763765,0.0002365329,0.0003582606,0.0003829389,0.0002302441,0.0003836263],"category_scores_gemma":[0.0002579963,0.0003036808,0.000064696,0.001209125,0.0000731363,0.004651771,0.0003179818,0.0004111513,0.0000717931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000078939,"about_ca_system_score_gemma":0.00002219103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007807014,"about_ca_topic_score_gemma":0.00006350417,"domain_scores_codex":[0.9977893,0.00003909373,0.0008946849,0.0002464431,0.0004116562,0.0006187796],"domain_scores_gemma":[0.9989428,0.00007944231,0.0004956391,0.0003359531,0.0001187483,0.00002743355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001347249,0.0003533746,0.6896812,0.001589761,0.0001550358,0.000008159284,0.0004434744,0.01212093,0.00005463714,0.06465635,0.02352664,0.2060632],"study_design_scores_gemma":[0.01284646,0.0001037316,0.5135259,0.002849875,0.000256084,0.000006597543,0.002803046,0.01943734,0.0002789558,0.001120064,0.4448385,0.001933503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586673,0.0001605582,0.0004675894,0.0004984746,0.002030442,0.0008858942,0.000008434653,0.0001094504,0.03717188],"genre_scores_gemma":[0.9972994,0.00004853398,0.0002595215,0.0002962011,0.001643024,0.00007674171,0.0001023452,0.00002584665,0.0002483633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4213118,"threshold_uncertainty_score":0.9999415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072227157267881,"score_gpt":0.2067489288273106,"score_spread":0.1860266572546318,"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."}}