{"id":"W2054629351","doi":"10.1108/info-08-2014-0035","title":"Smart for whom? Cost ambiguity as corporate strategy in the 21st century telco sector","year":2015,"lang":"en","type":"article","venue":"Info","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Flexibility (engineering); Computer science; Revenue; Product (mathematics); Originality; Competitive advantage; Modularity (biology); Industrial organization; Ambiguity; Control (management); Telecommunications; Marketing; Business; Knowledge management; Economics; Creativity; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007912586,0.0003092761,0.0002642797,0.00261346,0.0051037,0.0188024,0.001111774,0.002119065,0.002631459],"category_scores_gemma":[0.0179955,0.0002006872,0.000166176,0.002741753,0.01874171,0.009570883,0.003558163,0.001739595,0.0001900036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03203074,"about_ca_system_score_gemma":0.01563583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1046129,"about_ca_topic_score_gemma":0.09814607,"domain_scores_codex":[0.9938387,0.002652687,0.0001388845,0.0004205551,0.001907659,0.001041459],"domain_scores_gemma":[0.9817738,0.01221569,0.002197777,0.0005989634,0.002039252,0.0011745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005550339,0.00005849226,0.02998033,0.0001552598,0.00001937614,0.0007517567,0.1721022,0.0009909682,0.0005496901,0.727558,0.002740886,0.06503759],"study_design_scores_gemma":[0.00001799605,0.0000691169,0.04519181,0.0006073213,0.00003944789,0.0004728493,0.6457617,0.005971561,0.001181774,0.2285574,0.07203589,0.00009311212],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7966394,0.003605905,0.007117405,0.02150324,0.0000664303,0.00008949308,0.00003164363,0.00002250415,0.1709241],"genre_scores_gemma":[0.9981576,0.0002515696,0.0003208162,0.0002829238,0.000007187582,0.000004300063,0.000003429012,0.000003599391,0.0009687186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1046129,"threshold_uncertainty_score":0.2324004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09135083646722393,"score_gpt":0.2420507309738708,"score_spread":0.1506998945066468,"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."}}