{"id":"W6991606972","doi":"","title":"How Cohesive are Canadian CMAs? A Measure of Social Cohesion Using the National Survey of Giving, Volunteering, and Participating","year":2003,"lang":"en","type":"article","venue":"","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cohesion (chemistry); Metropolitan area; Standardization; Survey data collection; Comparability; Measure (data warehouse); Social environment","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":[0.002106859,0.0002415375,0.0003247716,0.004365446,0.008369998,0.003370967,0.001278863,0.0006095509,0.004622948],"category_scores_gemma":[0.0111528,0.0001592052,0.0002867797,0.008941736,0.00161238,0.001586828,0.001609996,0.0006404498,0.0003347391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02531818,"about_ca_system_score_gemma":0.02562275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9759701,"about_ca_topic_score_gemma":0.9883039,"domain_scores_codex":[0.9974962,0.0003762045,0.0001059468,0.0002547846,0.001090621,0.0006761591],"domain_scores_gemma":[0.9953943,0.0003834131,0.00104344,0.0001834394,0.001627131,0.001368146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006985437,0.00005150567,0.859836,0.0001083603,0.00007998256,0.0001167619,0.02607979,0.0002835139,0.0003543728,0.006906166,0.0129792,0.09313454],"study_design_scores_gemma":[0.000002801555,0.00002160029,0.9604384,0.00005887856,0.0000242452,0.00005062611,0.02448328,0.0002205401,0.00008806544,0.0006762726,0.01390519,0.00003010974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273515,0.001637859,0.0006642804,0.004854937,0.0000775001,0.0001148431,0.004755752,0.00004588853,0.06049758],"genre_scores_gemma":[0.9946783,0.0006046047,0.0007675292,0.0001603844,0.0000138885,0.00003769026,0.0009993014,0.000006052768,0.0027323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02531818,"threshold_uncertainty_score":0.1836971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1173236378381475,"score_gpt":0.3243896756338545,"score_spread":0.207066037795707,"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."}}