{"id":"W7164884677","doi":"10.1080/17153379.2014.12557146","title":"Technomobility in China: Young Migrant Women and Mobile Phones.","year":2014,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"China's Global Influence and Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Immigration","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008719825,0.0001009238,0.0001556961,0.00006636813,0.0002287471,0.00006282845,0.0001247716,0.0001012732,0.00009086511],"category_scores_gemma":[0.0001391306,0.00009445829,0.00002948072,0.0003483181,0.0002967248,0.0002275268,0.00003069036,0.0001131849,0.00003646157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001858966,"about_ca_system_score_gemma":0.00004559617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004016705,"about_ca_topic_score_gemma":0.004908637,"domain_scores_codex":[0.9989206,0.0001034957,0.0001724033,0.0002668924,0.0001980518,0.0003385558],"domain_scores_gemma":[0.9995986,0.00003949313,0.00005060328,0.0001829722,0.0000247512,0.0001036041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006361963,0.0003135172,0.2147642,0.00005436866,0.00001379561,0.000007381729,0.7166941,0.00005223712,0.002719109,0.01528244,0.001510513,0.04852483],"study_design_scores_gemma":[0.0006871555,0.0001865489,0.08654886,0.00004646159,0.000007435737,0.00000343822,0.8106415,0.0003249091,0.000258802,0.03160981,0.06919762,0.0004874901],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8749838,0.0002311742,0.00004964574,0.0001100033,0.0001436991,0.0003085623,0.000004987245,0.0000923017,0.1240758],"genre_scores_gemma":[0.9992064,0.0001531323,0.00006351243,0.000006822421,0.00005836196,0.0001088181,0.0000028072,0.000005417704,0.0003947148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1282153,"threshold_uncertainty_score":0.6072083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004949963771315396,"score_gpt":0.2424285906107888,"score_spread":0.2374786268394734,"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."}}