{"id":"W7164887967","doi":"10.1080/17153379.2015.12557270","title":"Lost in Transition: Hong Kong Culture in the Age of China. Suny Series in Global Modernity.","year":2015,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Hong Kong and Taiwan Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007279117,0.0004191777,0.0002688386,0.0004870449,0.004083312,0.004608006,0.0005091749,0.0008826333,0.00697218],"category_scores_gemma":[0.001113202,0.0001850326,0.0002098935,0.001517646,0.003659424,0.003590015,0.002380214,0.001743334,0.0005328788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00619794,"about_ca_system_score_gemma":0.01251826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2473677,"about_ca_topic_score_gemma":0.3889673,"domain_scores_codex":[0.9997658,0.00005272617,0.0000118343,0.00001614767,0.00002883568,0.0001246524],"domain_scores_gemma":[0.9991925,0.000109457,0.00008382095,0.00004807831,0.0001145313,0.0004515309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001887483,0.0001140954,0.03967523,0.0007837919,0.00005479373,0.002363374,0.2036562,0.0002483811,0.0005385156,0.07137533,0.5554792,0.1255224],"study_design_scores_gemma":[0.00001644352,0.00006767289,0.1272447,0.0005635569,0.00005429042,0.0002170052,0.2295438,0.0001377986,0.0003222482,0.003123815,0.6386778,0.00003086],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3226137,0.2895701,0.0003370845,0.236249,0.01383428,0.00005626525,0.001364307,0.00009759906,0.1358777],"genre_scores_gemma":[0.7812123,0.07934725,0.0001385327,0.00878697,0.001764552,0.00004840236,0.000386367,0.00003716855,0.1282784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2473677,"threshold_uncertainty_score":0.4918558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436628750255394,"score_gpt":0.2810342591691044,"score_spread":0.2566679716665504,"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."}}