{"id":"W2996437461","doi":"","title":"Introduction and overview : Growth and change in Canadian cities","year":2011,"lang":"en","type":"article","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002652418,0.00007281387,0.00008964221,0.0004633759,0.001591358,0.0002630639,0.0001728339,0.00005142359,0.0001468049],"category_scores_gemma":[0.001429434,0.00007857748,0.000009852861,0.0009177917,0.0006826094,0.0006412115,0.00003972527,0.0001369591,0.000001279612],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007359362,"about_ca_system_score_gemma":0.007355833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982468,"about_ca_topic_score_gemma":0.9999941,"domain_scores_codex":[0.9979281,0.0001232652,0.000135028,0.0003273544,0.0009836667,0.0005025226],"domain_scores_gemma":[0.9988144,0.00008967553,0.0000322617,0.00007753526,0.0006282216,0.0003578948],"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":[0.000009816341,0.0000128307,0.01977957,0.00004108021,0.000007932106,0.000006094057,0.008405642,0.000005239096,0.00001533997,0.9290457,0.04204883,0.000621937],"study_design_scores_gemma":[0.0001470232,0.00001222992,0.05967058,0.00002286335,0.000001763732,0.000001302429,0.002099813,0.0002956424,0.00004097421,0.002631939,0.9349622,0.000113733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4901156,0.00281199,0.0000850315,0.4131551,0.00753474,0.003456934,0.0007812778,0.00007396844,0.08198538],"genre_scores_gemma":[0.9956015,0.0001184407,0.0001978958,0.0002555402,0.0003492603,0.00006524097,0.00008426809,0.000005992462,0.003321908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9264138,"threshold_uncertainty_score":0.9997084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1273686622366865,"score_gpt":0.3426167107580991,"score_spread":0.2152480485214126,"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."}}