{"id":"W1568423445","doi":"","title":"Creeping Conformity: How Canada Became Suburban, 1900-1960","year":2005,"lang":"en","type":"article","venue":"British Journal of Canadian Studies","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Conformity; History; Genealogy; Political science; Law","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":[0.0009046764,0.0002202029,0.0003252252,0.002033155,0.01739885,0.00537264,0.00153005,0.00125779,0.008468418],"category_scores_gemma":[0.003301597,0.0002287042,0.0002578018,0.006194238,0.007542957,0.001560054,0.002560096,0.002513595,0.0003707918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1110316,"about_ca_system_score_gemma":0.1150438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978638,"about_ca_topic_score_gemma":0.9992483,"domain_scores_codex":[0.998493,0.0001227147,0.0000262149,0.0001648973,0.0003068128,0.0008863957],"domain_scores_gemma":[0.9978205,0.0001349693,0.0001346715,0.00007306506,0.001056103,0.0007806981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003418075,0.0001339379,0.1886847,0.000190348,0.00005890304,0.001726586,0.4449697,0.00113832,0.0008687717,0.1776613,0.0643153,0.1199105],"study_design_scores_gemma":[0.00001084079,0.00002544237,0.4172125,0.0001661462,0.00002466006,0.0001941441,0.1715042,0.0002358513,0.0003575688,0.002517038,0.4076859,0.00006561619],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8582968,0.002940539,0.0003014625,0.01421113,0.0001978431,0.00004563742,0.002016951,0.00004253847,0.121947],"genre_scores_gemma":[0.9707337,0.001041166,0.0001245831,0.0005765632,0.00002508074,0.00001062157,0.0003496639,0.00004053464,0.02709798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1110316,"threshold_uncertainty_score":0.8055945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03777107088203792,"score_gpt":0.2635008481439135,"score_spread":0.2257297772618756,"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."}}