{"id":"W4252110812","doi":"10.22215/timreview800","title":"Mobile Convergence and Entrepreneurial Opportunities for Innovative Products and Services","year":2014,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Business; Convergence (economics); Technological convergence; Industrial organization; Marketing; Commerce; Telecommunications; Computer science; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0004422004,0.0001448802,0.0002341647,0.0004586932,0.00009467197,0.0001655362,0.000142928,0.00004919052,0.00002305698],"category_scores_gemma":[0.00005671921,0.0001331575,0.00001005832,0.001064012,0.00009545499,0.001506351,0.0002647456,0.00005019027,0.00001736619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006048796,"about_ca_system_score_gemma":0.00000379723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003361818,"about_ca_topic_score_gemma":0.000001839547,"domain_scores_codex":[0.9991145,8.845056e-7,0.0003769978,0.000295726,0.000055081,0.0001568151],"domain_scores_gemma":[0.9991723,0.000009093806,0.0003147985,0.0002062475,0.0002939629,0.000003630794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000468169,0.00001270093,0.0007597005,0.00582293,0.00002340819,4.842721e-7,0.000002738424,3.654105e-7,0.000016118,0.776218,0.002615254,0.2145236],"study_design_scores_gemma":[0.0003995204,0.00003642988,0.0001960885,0.0005856387,0.00005549124,0.000002033621,0.0004237634,0.0002795829,0.00004822196,0.09225464,0.9054916,0.0002270202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459707,0.005185734,0.001264937,0.007576707,0.0005091115,0.00373171,0.000006665108,0.0005579076,0.03519658],"genre_scores_gemma":[0.9632099,0.01487185,0.001808493,0.01755767,0.0003189386,0.0008520736,0.000282548,0.00003626577,0.001062259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9028763,"threshold_uncertainty_score":0.5430005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090601588534403,"score_gpt":0.2360076595528107,"score_spread":0.2051016436674666,"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."}}