{"id":"W2069611783","doi":"10.1108/cb-10-2013-0039","title":"A model for Chinese transnational migration through the Americas: the Canadian experience","year":2014,"lang":"en","type":"article","venue":"Collection Building","topic":"Asian American and Pacific Histories","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Originality; Subject (documents); Resource (disambiguation); Library science; Session (web analytics); Value (mathematics); Sociology; History; Regional science; Social science; Computer science","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":[0.002511888,0.0008772296,0.0004068257,0.001977513,0.0331792,0.01075367,0.002756137,0.001959874,0.01004179],"category_scores_gemma":[0.004151074,0.0003595086,0.0004777604,0.00491103,0.01646512,0.00674567,0.004658701,0.003639793,0.0004854831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1062805,"about_ca_system_score_gemma":0.1186892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9837159,"about_ca_topic_score_gemma":0.9837132,"domain_scores_codex":[0.9978533,0.0007579486,0.00004151479,0.0002187938,0.0003447375,0.0007836401],"domain_scores_gemma":[0.9982409,0.0003839845,0.0001061874,0.0001157043,0.000532245,0.0006208923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003666334,0.00004018475,0.005501873,0.00007557468,0.000006966034,0.0009957395,0.8172087,0.0004171614,0.0001886167,0.1583905,0.007825681,0.009312308],"study_design_scores_gemma":[0.00001218117,0.0000192472,0.002731113,0.0001494102,0.00001196291,0.0002409329,0.9127271,0.0009238845,0.00005771657,0.008125614,0.07496317,0.00003778242],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5787618,0.002451494,0.00316269,0.02974431,0.0003637392,0.0002205334,0.0003327943,0.00009583333,0.3848668],"genre_scores_gemma":[0.9741753,0.00146299,0.001135144,0.0009049475,0.0000113238,0.00006930927,0.0001045078,0.00003978726,0.0220966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1062805,"threshold_uncertainty_score":0.7711228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873840091481677,"score_gpt":0.3198303987278667,"score_spread":0.29109199781305,"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."}}