{"id":"W7001149249","doi":"","title":"An industrial complex for Levi Strauss and Company","year":2013,"lang":"en","type":"dissertation","venue":"ThinkTech (Texas Tech University)","topic":"Twentieth Century Scientific Developments","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Levi strauss; Clothing; Manufacturing; Clothing industry; West germany","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002262075,0.0003920697,0.0004437654,0.0007054668,0.0007843266,0.000546877,0.000743752,0.0003902447,0.002554684],"category_scores_gemma":[0.00001909757,0.0004191099,0.0001090267,0.0001431811,0.0002426181,0.0007057948,0.00006959151,0.0004532059,0.0001248814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442532,"about_ca_system_score_gemma":0.0001846785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003750855,"about_ca_topic_score_gemma":0.001649177,"domain_scores_codex":[0.9981874,0.00005917315,0.0002859955,0.0006630488,0.0003642579,0.0004401559],"domain_scores_gemma":[0.998705,0.00005425609,0.000307534,0.000404055,0.000333894,0.0001952729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008143013,0.0008640055,0.000477613,0.0008230106,0.0009334672,0.00006422686,0.04552022,0.000003503003,0.002212005,0.3048308,0.5683131,0.0751438],"study_design_scores_gemma":[0.001210255,0.0001527767,0.001225085,0.000118436,0.000152285,0.000001063628,0.01327231,0.00005499873,0.0001997409,0.001305908,0.9816975,0.0006096425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7827474,0.0001176236,0.0001356423,0.0001730914,0.02613944,0.004546443,0.001411447,0.001177025,0.1835519],"genre_scores_gemma":[0.2156595,0.00003681755,0.001132823,0.00006478662,0.0004611324,0.000006327304,0.006179731,0.00007839235,0.7763805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5928286,"threshold_uncertainty_score":0.9998261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07564262133123612,"score_gpt":0.2428795584158631,"score_spread":0.167236937084627,"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."}}