{"id":"W4328001285","doi":"10.1007/bf03403723","title":"Conceptualizing and Operationalizing Neighbourhoods: The Conundrum of Identifying Territorial Units","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Université de Montréal","funders":"","keywords":"Operationalization; Regional science; Geography; Differential (mechanical device); Environmental planning; Economic geography; Engineering; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01074234,0.00006695533,0.0002206473,0.0001942506,0.001172601,0.0002229482,0.0002476284,0.00006829187,0.0001180764],"category_scores_gemma":[0.00275255,0.00005360413,0.00003721895,0.0003645438,0.0003887574,0.0003994025,0.00001023663,0.0002387053,6.2969e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004915929,"about_ca_system_score_gemma":0.01890658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3138331,"about_ca_topic_score_gemma":0.6814844,"domain_scores_codex":[0.9977555,0.0004538092,0.0006554968,0.00007480759,0.0003295846,0.0007307819],"domain_scores_gemma":[0.9967224,0.0005643768,0.0003841018,0.00007565141,0.0005011664,0.00175233],"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":[0.000003473641,0.000007207745,0.2091301,0.00008571675,0.0000320846,0.00001706773,0.0982779,0.000003171745,0.000002425833,0.6640686,0.007682464,0.02068977],"study_design_scores_gemma":[0.0004280306,0.00006144465,0.1177225,0.0001651186,0.000005560094,0.00002571924,0.1632124,0.000006445212,0.000004077837,0.0008430498,0.7174288,0.00009677171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7746298,0.01148951,0.003861974,0.1940528,0.008965411,0.0004431703,0.00004428074,0.0000118132,0.006501202],"genre_scores_gemma":[0.9924026,0.0002251406,0.0001928873,0.00539439,0.001669788,4.798206e-7,0.000001418338,0.00000686428,0.0001064856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7097463,"threshold_uncertainty_score":0.9866553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1506580930919992,"score_gpt":0.3843265257933479,"score_spread":0.2336684327013486,"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."}}