{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004825088,0.0002608307,0.0001864187,0.0009044377,0.003903427,0.001896935,0.0004249399,0.0008057092,0.004914694],"category_scores_gemma":[0.00131484,0.000209522,0.0001577431,0.001308874,0.001187231,0.001736536,0.001552086,0.0009806242,0.0002843777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209284,"about_ca_system_score_gemma":0.002885373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0824331,"about_ca_topic_score_gemma":0.1505265,"domain_scores_codex":[0.9996735,0.00007605991,0.00001431061,0.00002551873,0.00003902893,0.0001715958],"domain_scores_gemma":[0.9992375,0.0001223888,0.0001554898,0.00001793014,0.00007129856,0.0003953553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007980954,0.0001682548,0.6013332,0.0001293383,0.00001279909,0.002471824,0.3505562,0.00003062076,0.0006374624,0.003282716,0.004178111,0.03711961],"study_design_scores_gemma":[0.000007769075,0.0001410826,0.4427176,0.000145999,0.0000213582,0.0005926493,0.5450916,0.00009143828,0.0001342101,0.0003008575,0.01073711,0.0000183758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922594,0.0008417967,0.00003105966,0.001901526,0.00004734718,0.00001394223,0.00005503868,0.000002842075,0.004847082],"genre_scores_gemma":[0.9939671,0.001204214,0.00002722085,0.0004385813,0.00003038072,0.00001529012,0.0000387818,0.000002518155,0.004275934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0824331,"threshold_uncertainty_score":0.1639066,"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."}}