{"id":"W7038020981","doi":"","title":"Global Manufacturing: Foreign Government Programs Differ in Some Key Respects From Those in the United States","year":2013,"lang":"en","type":"report","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Plant Ecology and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Standards and Technology; Industrial Technology Research Institute; Ministry of Economy, Trade and Industry; U.S. Department of State; Electronics and Telecommunications Research Institute; U.S. Department of Commerce","keywords":"Government (linguistics); Accountability; Vocational education; Key (lock); Dual (grammatical number); Production (economics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001291464,0.0004189264,0.0001403686,0.001601799,0.001550095,0.003268241,0.0004366036,0.001126257,0.01973635],"category_scores_gemma":[0.00212731,0.0001302778,0.0002723005,0.00380106,0.0007176374,0.001684718,0.001549733,0.001242788,0.002388067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002526826,"about_ca_system_score_gemma":0.006310981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0487476,"about_ca_topic_score_gemma":0.1026382,"domain_scores_codex":[0.9988757,0.0001299156,0.00004552355,0.00008725335,0.0002728518,0.0005888692],"domain_scores_gemma":[0.9987231,0.0003962563,0.0001509769,0.0001401792,0.0003785925,0.0002108304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003504376,0.0004364105,0.0788985,0.0008290171,0.00005584901,0.001108864,0.009151701,0.0006099369,0.002108613,0.2567577,0.2699632,0.3797297],"study_design_scores_gemma":[0.00002958014,0.0001014157,0.155302,0.0001791604,0.00002377171,0.0004795956,0.008885514,0.00007867918,0.001396623,0.002299008,0.831205,0.00001963198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1011657,0.005076964,0.001567738,0.0285464,0.00141276,0.0001828228,0.004962829,0.0003697486,0.856715],"genre_scores_gemma":[0.6567665,0.00591616,0.003825259,0.01943462,0.0005493403,0.0004611813,0.007180857,0.0002047325,0.3056614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0487476,"threshold_uncertainty_score":0.0969277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464757098847906,"score_gpt":0.1744541147190422,"score_spread":0.1498065437305631,"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."}}