{"id":"W2275481992","doi":"10.14288/1.0091718","title":"Beyond the GenerAsians : Intergenerational programming and Vancouver’s Chinatown","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chinatown; Computer science; Computer security; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001310814,0.0000275685,0.00009055561,0.0000032619,0.0003943655,0.00008633462,0.0001617141,0.00004296906,0.0001184101],"category_scores_gemma":[0.0000096011,0.00003294135,0.0000487811,0.0001474707,0.0001154051,0.0001606097,0.00004938688,0.00006154606,0.000001008137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002223828,"about_ca_system_score_gemma":0.00001202102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01101735,"about_ca_topic_score_gemma":0.451322,"domain_scores_codex":[0.9994596,0.00003254672,0.00006674729,0.000181632,0.0001211892,0.000138284],"domain_scores_gemma":[0.9997731,0.00002178251,0.00004071868,0.00003421456,0.00007962964,0.00005049608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000002882512,0.00003796507,0.01995268,0.000002885199,0.00000542832,0.000009621436,0.0001067262,4.838686e-7,0.0008235628,0.000009080769,0.009000908,0.9700478],"study_design_scores_gemma":[0.0001005664,0.00007602136,0.9922515,0.000006937362,0.000005418473,0.000008236954,0.001456865,0.00003506718,0.000001863487,0.002144853,0.003831197,0.00008151169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975477,0.00009475014,0.00001010919,0.001372286,0.00006254229,0.000149573,0.00001548904,0.00002602389,0.0007215678],"genre_scores_gemma":[0.9985818,0.00003807341,0.0002048594,0.0001179023,0.00003654866,2.771995e-7,0.00001691751,2.817229e-7,0.001003315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9722988,"threshold_uncertainty_score":0.9955684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005065933698853681,"score_gpt":0.1573190329502169,"score_spread":0.1522530992513632,"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."}}