{"id":"W4234551114","doi":"10.22215/timreview1032","title":"The Smart City Ecosystem as an Innovation Model: Lessons from Montreal","year":2016,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ecosystem; Smart city; Business; Environmental resource management; Regional science; Environmental science; Geography; Computer science; Internet of Things; Ecology; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001664522,0.0004844125,0.0003870593,0.00126953,0.003129766,0.007354506,0.001688017,0.001910283,0.009302584],"category_scores_gemma":[0.00228739,0.0002117714,0.0005189048,0.002592419,0.004904232,0.005928846,0.00273418,0.001366879,0.0007049553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03102457,"about_ca_system_score_gemma":0.01714865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5603018,"about_ca_topic_score_gemma":0.6006752,"domain_scores_codex":[0.9991004,0.0003990673,0.00002255086,0.00008019136,0.0001958462,0.0002020622],"domain_scores_gemma":[0.998805,0.000471139,0.00006776613,0.00007500232,0.0003709637,0.000210098],"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":[0.00001484447,0.00003559711,0.001387103,0.0001042684,0.000009779986,0.0002636131,0.001762086,0.004254917,0.00009439301,0.9609618,0.009837238,0.02127433],"study_design_scores_gemma":[0.00004828541,0.00008513876,0.006681337,0.0007622119,0.00006170458,0.0002438332,0.01034586,0.02307521,0.0004151606,0.3944417,0.5637541,0.00008546955],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06500443,0.02158064,0.01435929,0.05184642,0.0003958275,0.000181325,0.0003521224,0.0001432634,0.8461366],"genre_scores_gemma":[0.9060608,0.02288789,0.01107287,0.001885212,0.0001266905,0.0001593116,0.0001902301,0.00006778125,0.05754922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4396982,"threshold_uncertainty_score":0.8845754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04410280082035,"score_gpt":0.293845500809796,"score_spread":0.249742699989446,"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."}}