{"id":"W4253592853","doi":"10.32920/ryerson.14664720","title":"Canadian smart cities: health remedies, side effects and hard to swallow pills","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Smart city; Pill; Indigenous; Sovereignty; Business; Internet privacy; Healthcare system; Health care; Core (optical fiber); Public relations; Computer security; Political science; Computer science; Medicine; Telecommunications; Internet of Things; Nursing; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000137808,0.0003449741,0.0005457161,0.0003216821,0.00009527029,0.0001742287,0.0002457236,0.0003353952,0.00006033999],"category_scores_gemma":[0.0001292442,0.0003572655,0.00007125847,0.0001283003,0.00003713118,0.00004091631,0.0004012108,0.0005445498,0.00001823691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006719903,"about_ca_system_score_gemma":0.0003790427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2914065,"about_ca_topic_score_gemma":0.6841319,"domain_scores_codex":[0.9985335,0.00001992943,0.0002631157,0.0004042906,0.0001500317,0.000629116],"domain_scores_gemma":[0.9988351,0.00009631251,0.00002454613,0.0005816032,0.00004237749,0.0004200402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001254622,0.00003426749,0.02045039,0.01996196,0.001618112,0.0008199678,0.01043672,0.01285292,0.0004909466,0.005232404,0.7431982,0.1848915],"study_design_scores_gemma":[0.001134827,0.0005628456,0.1019736,0.006991414,0.0001274829,0.00009745464,0.01541797,0.005898497,0.009192038,0.005140311,0.8485417,0.004921944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9071479,0.01694836,0.002556306,0.01519603,0.007612352,0.001854525,0.0001756671,0.003867096,0.04464176],"genre_scores_gemma":[0.9736952,0.005687728,0.01318776,0.003454651,0.0002560277,0.0002782108,0.0001477517,0.0001313115,0.003161329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3927255,"threshold_uncertainty_score":0.9998879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123144118992861,"score_gpt":0.2085380466168088,"score_spread":0.1973066054268802,"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."}}