{"id":"W3173063698","doi":"10.5509/2021942371","title":"Documenting China’s Garment Industry","year":2021,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Movie theater; Film director; Migrant workers; Performing arts; Documentary film; Sociology; The arts; Media studies; Gender studies; Visual arts; Aesthetics; Art; Political science; Law; Economic growth; Economics","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":[0.0005175891,0.0003744276,0.0001145432,0.001363603,0.005033343,0.002243374,0.0004213184,0.000741667,0.004067286],"category_scores_gemma":[0.0007494557,0.0001692588,0.0001676527,0.001776568,0.002335917,0.001277668,0.001681943,0.001165712,0.0001469107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003672893,"about_ca_system_score_gemma":0.003667929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07005466,"about_ca_topic_score_gemma":0.1649784,"domain_scores_codex":[0.9997526,0.0000487695,0.00001029519,0.00003661456,0.0000800223,0.0000718384],"domain_scores_gemma":[0.9996483,0.00009811175,0.00006211901,0.00004211757,0.00005333664,0.00009591982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001530647,0.00006615658,0.03946523,0.0007110078,0.00004906569,0.009505236,0.7336456,0.0005778978,0.02431289,0.07115634,0.03036755,0.08998995],"study_design_scores_gemma":[0.00001567552,0.0001360759,0.1862912,0.0004346941,0.00004644127,0.001221496,0.2525357,0.0009036721,0.004865839,0.002387944,0.5510864,0.00007475992],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886109,0.002534588,0.0005440821,0.00612729,0.0002563934,0.00005069099,0.0001941639,0.00002857673,0.1016533],"genre_scores_gemma":[0.9831583,0.001221842,0.0003872951,0.0004086893,0.00007731467,0.00001720169,0.0001320878,0.00001545167,0.01458162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07005466,"threshold_uncertainty_score":0.1392938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818613958488122,"score_gpt":0.2786036881327421,"score_spread":0.2604175485478608,"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."}}