{"id":"W2963786494","doi":"","title":"The Smart Cities Approach: The Opportunity and Possibility of Data Driven Communities","year":2019,"lang":"en","type":"article","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Geography; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0821053,0.0007481524,0.0008873703,0.003883436,0.008253792,0.02469751,0.005086138,0.007877306,0.008415086],"category_scores_gemma":[0.07509512,0.001372643,0.001670287,0.004190792,0.03294305,0.0507187,0.03817646,0.01162527,0.002066337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005862781,"about_ca_system_score_gemma":0.01554775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005726412,"about_ca_topic_score_gemma":0.006637217,"domain_scores_codex":[0.8990356,0.07570259,0.001844744,0.006377195,0.01413685,0.002903009],"domain_scores_gemma":[0.8524159,0.09229606,0.005088493,0.03333303,0.009592235,0.007274215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004750739,0.00008683145,0.003430195,0.0002755049,0.00005059755,0.0002763649,0.01376003,0.0007545584,0.0003287712,0.9323941,0.01158685,0.03700871],"study_design_scores_gemma":[0.00004876203,0.00008942234,0.0009891799,0.0006090707,0.00002050636,0.0002865879,0.01269783,0.002595869,0.0005965394,0.6683503,0.313627,0.00008898542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03938249,0.004960405,0.3333443,0.3365622,0.002666769,0.001203794,0.001067235,0.0009008104,0.279912],"genre_scores_gemma":[0.6766896,0.004202201,0.246234,0.03983586,0.001978257,0.002801737,0.0006578096,0.0005341289,0.02706633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0821053,"threshold_uncertainty_score":0.4342195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06246068558718929,"score_gpt":0.2576841479059669,"score_spread":0.1952234623187777,"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."}}