{"id":"W2623970038","doi":"","title":"Constraints on leisure activities participation among Chinese immigrants in Canada / by Feihuang Xiong.","year":2006,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Demographic economics; Political science; Socioeconomics; Geography; Gender studies; Sociology; Economics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001769889,0.0003168463,0.0004122282,0.0004745545,0.0005895189,0.00006921883,0.0003886402,0.0003468421,0.0002263439],"category_scores_gemma":[0.00007922255,0.0003706753,0.00009912206,0.001123861,0.0002124982,0.0002769786,0.00002018359,0.0005100752,0.00001353348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867573,"about_ca_system_score_gemma":0.002722295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8457289,"about_ca_topic_score_gemma":0.9999962,"domain_scores_codex":[0.998069,0.0004600603,0.0002707619,0.0003724485,0.0003795847,0.0004481405],"domain_scores_gemma":[0.9989268,0.0002646118,0.0002325136,0.0002237143,0.0001697982,0.0001825351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001388287,0.000376488,0.925768,0.00009822609,0.00006743737,0.00006973909,0.02816034,0.0001364777,0.00005967272,0.0136581,0.02050091,0.0109658],"study_design_scores_gemma":[0.0008399672,0.00003275825,0.8981909,0.0003138962,0.00006117297,1.760624e-7,0.02372056,0.000167802,0.00004381503,0.00003900848,0.07591608,0.0006738938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7849347,0.00007651412,0.000008326703,0.0001012935,0.0005792207,0.00031614,0.0002260888,0.00005123895,0.2137065],"genre_scores_gemma":[0.9259817,0.000009260614,0.00000115262,0.000002863062,0.00006985278,0.000005100029,0.001504961,0.00002277184,0.07240233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1542673,"threshold_uncertainty_score":0.9998745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240959527667819,"score_gpt":0.2590503340976414,"score_spread":0.2466407388209632,"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."}}