{"id":"W2546442936","doi":"10.1111/cag.12324","title":"What affects perceptions of neighbourhood change?","year":2016,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Neighbourhood (mathematics); Perception; Social psychology; Psychology; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0004513999,0.0003688969,0.000495778,0.003418624,0.001670474,0.0001817315,0.0005922977,0.000254517,0.001163027],"category_scores_gemma":[0.0003384303,0.0003059572,0.0004102873,0.00439539,0.003855888,0.001451298,0.00004586218,0.0001307327,0.00002841895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701631,"about_ca_system_score_gemma":0.0003893807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7556748,"about_ca_topic_score_gemma":0.9978717,"domain_scores_codex":[0.9969391,0.0002295509,0.0003790754,0.0005366895,0.0004595281,0.001456093],"domain_scores_gemma":[0.9969659,0.0004815457,0.0002013436,0.0005156418,0.0004563797,0.001379206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001827145,0.00004796124,0.7212214,0.00004693501,0.0003523981,0.00003599029,0.04078872,4.656811e-7,0.00008555503,0.1113011,0.01655088,0.1095503],"study_design_scores_gemma":[0.0006533022,0.0001997262,0.6236739,0.0003763754,0.0001318258,0.000007935985,0.1599742,0.000001163644,0.00003194067,0.004485754,0.209584,0.0008799371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404407,0.008577961,0.00001753762,0.02151995,0.003854728,0.001059615,0.000394407,0.0002517192,0.02388344],"genre_scores_gemma":[0.9665614,0.03050405,0.00005046513,0.0006463116,0.000521976,0.000175921,0.00001585825,0.00004036485,0.001483598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2421969,"threshold_uncertainty_score":0.9999393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196308842566187,"score_gpt":0.2416606974106519,"score_spread":0.2220298131540331,"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."}}