{"id":"W4236635206","doi":"10.32920/ryerson.14639184","title":"Civic Engagement, Social Cohesion and Social Integration in Toronto,Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Victoria Park","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Voluntary sector; Social capital; Civil society; Ethnic group; Political science; Voluntary association; Private sector; Government (linguistics); Public relations; Public administration; Sociology; Politics; Law","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":[0.000950874,0.0003587602,0.0005725125,0.002108878,0.01571098,0.00342161,0.00114344,0.0004412883,0.00703886],"category_scores_gemma":[0.002281424,0.0002739817,0.0003519318,0.00647172,0.001843735,0.0008941661,0.003045849,0.001001962,0.000341989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1290879,"about_ca_system_score_gemma":0.1545977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987675,"about_ca_topic_score_gemma":0.999647,"domain_scores_codex":[0.9986067,0.000199227,0.00004842319,0.0001353339,0.0004557429,0.00055454],"domain_scores_gemma":[0.9966924,0.0002624557,0.0002496601,0.00007764794,0.001099779,0.001618038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002814534,0.000485432,0.5690009,0.0008461847,0.000137844,0.001570954,0.1976535,0.001581403,0.0009065818,0.03079363,0.06156918,0.1351729],"study_design_scores_gemma":[0.00002044143,0.00006082244,0.8299376,0.0003919183,0.00004536826,0.0001172504,0.1191272,0.0007613563,0.00020434,0.0009947312,0.04827328,0.00006569491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9073294,0.006049675,0.0003656729,0.006562531,0.0001059595,0.0002161818,0.003645835,0.00004790532,0.07567684],"genre_scores_gemma":[0.9817114,0.002291713,0.0005567908,0.0002500209,0.0000120645,0.00007061668,0.0008694237,0.00001459612,0.01422337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1290879,"threshold_uncertainty_score":0.9366026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04192162126890821,"score_gpt":0.334264504712703,"score_spread":0.2923428834437948,"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."}}