{"id":"W4376107145","doi":"10.1177/00961442231170239","title":"How “Neighborhood” Arose, Changed, and Grew: A Bilingual Canadian Story","year":2023,"lang":"en","type":"article","venue":"Journal of Urban History","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"History; Sociology; Linguistics; Political science; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002829111,0.001389858,0.001081508,0.002826479,0.09348854,0.009147312,0.002919079,0.005316074,0.00887382],"category_scores_gemma":[0.004137309,0.0008920416,0.0006325859,0.003944633,0.02361668,0.004326668,0.006558937,0.00934171,0.0009098666],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1533442,"about_ca_system_score_gemma":0.08410271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924036,"about_ca_topic_score_gemma":0.9972396,"domain_scores_codex":[0.9965661,0.0007354046,0.00005190499,0.0003499373,0.0006561063,0.001640523],"domain_scores_gemma":[0.9978303,0.0004125548,0.0001062647,0.00006350656,0.000568264,0.001019164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009123763,0.00003938723,0.003126521,0.00008342985,0.00001061677,0.003056986,0.9506279,0.00007398979,0.0004304361,0.02004693,0.01465516,0.007757303],"study_design_scores_gemma":[0.00001311247,0.00002485429,0.005533175,0.000196568,0.00002289707,0.001163263,0.8554546,0.0001247162,0.0001961489,0.001194383,0.135992,0.0000841881],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7180092,0.007786819,0.0006679812,0.06936795,0.001004749,0.0001323314,0.001128832,0.0001066477,0.2017955],"genre_scores_gemma":[0.9569733,0.003248858,0.0004222611,0.005642621,0.0001079963,0.00004621322,0.0002526752,0.0001379411,0.03316808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1533442,"threshold_uncertainty_score":0.9820007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0392934956501835,"score_gpt":0.2636032144164768,"score_spread":0.2243097187662933,"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."}}