{"id":"W3040153635","doi":"10.1108/ijopm-11-2019-0728","title":"Advanced services and differentiation advantage: an empirical investigation","year":2020,"lang":"en","type":"article","venue":"International Journal of Operations & Production Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Product differentiation; Competition (biology); Marketing; Business; Service (business); Competitive advantage; Product (mathematics); Industrial organization; Service product management; Structural equation modeling; Originality; Empirical research; Service provider; Economics; Service design; Microeconomics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004422076,0.0003688797,0.0004241271,0.002290329,0.0008776037,0.002155627,0.000719218,0.0007438507,0.008996981],"category_scores_gemma":[0.02221193,0.0002116043,0.0008211115,0.002634364,0.002438379,0.002601797,0.003150296,0.001336054,0.0004019394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016736,"about_ca_system_score_gemma":0.002778277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004749147,"about_ca_topic_score_gemma":0.003684737,"domain_scores_codex":[0.9964497,0.001621641,0.000237466,0.0003397122,0.0009433907,0.0004080402],"domain_scores_gemma":[0.9265587,0.05350729,0.01198781,0.00225926,0.002737526,0.00294948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003438521,0.001088877,0.9593593,0.0002026815,0.0001733141,0.0003211608,0.002709565,0.001739006,0.0003614773,0.01481079,0.0002742382,0.01861579],"study_design_scores_gemma":[0.0001855977,0.001267538,0.9351578,0.0002690472,0.0003984786,0.0007422882,0.02010798,0.02344351,0.001217674,0.01347307,0.003687482,0.0000494592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929172,0.0001642977,0.0009284889,0.0002680446,0.000003700497,0.00005683655,0.0000783898,0.000006201702,0.005576901],"genre_scores_gemma":[0.9992942,0.00005376026,0.0004129294,0.00003067216,0.000006403985,0.00001411806,0.00004282869,0.000001140678,0.00014394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008996981,"threshold_uncertainty_score":0.03009796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626428364920454,"score_gpt":0.2897419697637096,"score_spread":0.2634776861145051,"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."}}