{"id":"W7005947616","doi":"","title":"Smart Cities in Canada: Digital Dreams, Corporate Designs","year":2020,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart city; Big data; Work (physics); Urban planning; Public transport; Democracy; Audit","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":[0.002306777,0.0004928911,0.0002537494,0.001825993,0.02996287,0.01819322,0.001661249,0.003194122,0.02070783],"category_scores_gemma":[0.004564408,0.0005560857,0.0003107856,0.004455772,0.01387513,0.005032359,0.003507166,0.003450189,0.003026533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1084115,"about_ca_system_score_gemma":0.1318318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9838008,"about_ca_topic_score_gemma":0.9929547,"domain_scores_codex":[0.9964535,0.0002952574,0.00006960247,0.0002334658,0.002038832,0.0009092838],"domain_scores_gemma":[0.9967564,0.000367665,0.00007920035,0.0002345485,0.00148892,0.001073187],"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":[0.000007658199,0.00001491928,0.0009743735,0.00004737651,0.00000263672,0.0001998978,0.009760773,0.0002728629,0.0001433177,0.3734587,0.5656033,0.04951406],"study_design_scores_gemma":[0.000001720462,0.000002633029,0.001270975,0.0000546333,0.000002167503,0.00006398773,0.009297534,0.0001568585,0.00007677224,0.007485195,0.9815698,0.00001779132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01409136,0.0135143,0.00491294,0.1530445,0.00146415,0.0001112122,0.0009490806,0.000533895,0.8113785],"genre_scores_gemma":[0.1541423,0.01406312,0.005521718,0.01451441,0.0002081891,0.0001297289,0.0005518486,0.0002602051,0.8106086],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1084115,"threshold_uncertainty_score":0.786584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906514186062311,"score_gpt":0.2220782986488604,"score_spread":0.2030131567882373,"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."}}