{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009776088,0.0002967493,0.0001542766,0.0009564023,0.01190301,0.004327453,0.001179464,0.0005427548,0.004302185],"category_scores_gemma":[0.002136539,0.0001509505,0.0001461105,0.002317847,0.006586939,0.001926629,0.00508423,0.00137219,0.0001333048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02309382,"about_ca_system_score_gemma":0.03258124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7953706,"about_ca_topic_score_gemma":0.9316031,"domain_scores_codex":[0.9991339,0.0002949826,0.00002305983,0.00009250862,0.0001571326,0.0002984322],"domain_scores_gemma":[0.9987296,0.0002229818,0.0001044375,0.0001299251,0.0003213949,0.0004917284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006322996,0.0000586466,0.09214777,0.0001877282,0.0000214345,0.001868987,0.5896741,0.0008061471,0.0007471005,0.1480439,0.00725892,0.159122],"study_design_scores_gemma":[0.00001062106,0.00006257011,0.08914742,0.0002672099,0.00002612634,0.0003336129,0.6916086,0.0006321539,0.0006361945,0.01133017,0.2058932,0.00005199715],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8609071,0.001162722,0.00232119,0.007866549,0.00008744575,0.0000704796,0.00009026065,0.00003152241,0.1274628],"genre_scores_gemma":[0.9798075,0.0005196792,0.0009438198,0.0002981453,0.000004940507,0.00002826326,0.00003093671,0.00001247641,0.01835435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2046294,"threshold_uncertainty_score":0.411669,"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."}}