{"id":"W2379407944","doi":"10.1177/0013916515627308","title":"Deciphering the Civic Virtue of Communal Space","year":2016,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Place Attachment and Urban Studies","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Chemistry","keywords":"Social capital; Space (punctuation); Sociology; Mechanism (biology); Point (geometry); Civic virtue; Social space; Civic engagement; China; Social psychology; Epistemology; Political science; Psychology; Social science; Politics; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002204101,0.0001355612,0.0001802199,0.00108297,0.001566351,0.001842898,0.0004150807,0.0003028236,0.001263454],"category_scores_gemma":[0.003293742,0.0001463742,0.0001033488,0.0007864063,0.005034668,0.002091132,0.003416638,0.0005032526,0.00003016528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043636,"about_ca_system_score_gemma":0.001120638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008614465,"about_ca_topic_score_gemma":0.02912701,"domain_scores_codex":[0.9988764,0.0007168538,0.00003621742,0.0001042259,0.0001166508,0.0001496448],"domain_scores_gemma":[0.9978188,0.0009902944,0.0005122563,0.0002535192,0.0001813106,0.0002437071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007600697,0.00009210766,0.6064165,0.0001643938,0.00005191794,0.0004567048,0.309009,0.0002743878,0.001901434,0.03392472,0.0004941536,0.0471386],"study_design_scores_gemma":[0.000004078932,0.00007504206,0.6214097,0.00008970889,0.00001975965,0.0001686155,0.3657471,0.0007114332,0.0003957681,0.005472455,0.005888105,0.00001843151],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960555,0.0000823739,0.0004185502,0.0002397527,0.00000300941,0.000003712102,0.000008665403,0.000001387575,0.003187065],"genre_scores_gemma":[0.9998423,0.00001948145,0.00006394755,0.000005994769,7.798988e-7,0.000001388221,0.0000027173,3.752763e-7,0.00006288437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008614465,"threshold_uncertainty_score":0.01712865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110363040302926,"score_gpt":0.2726454268562646,"score_spread":0.2515417964532354,"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."}}