{"id":"W1607179454","doi":"10.1111/gec3.12158","title":"Geographies of Production: The Institutional Foundations of a Design‐Intensive Manufacturing Strategy","year":2014,"lang":"en","type":"article","venue":"Geography Compass","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Agency (philosophy); Order (exchange); Capitalism; Competition (biology); Corporate governance; Production (economics); Institutional logic; Scale (ratio); Economic system; Business; Industrial organization; Political science; Sociology; Economics; Management; Social science; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000456111,0.00008155581,0.0001382218,0.0001254446,0.0006508224,0.00003815012,0.0002119475,0.00004442619,0.0001295985],"category_scores_gemma":[0.0001016634,0.00005641731,0.0001110919,0.0004784458,0.00109919,0.0001242465,0.00003182624,0.00009644609,0.000002331702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001347507,"about_ca_system_score_gemma":0.00009046483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276107,"about_ca_topic_score_gemma":0.0007791655,"domain_scores_codex":[0.9990276,0.0001273124,0.0002307871,0.0001343189,0.0003111413,0.0001688695],"domain_scores_gemma":[0.9991053,0.0001079399,0.0001556655,0.0001397697,0.000451032,0.00004026259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002715445,0.0006666125,0.1406148,0.000188386,0.001673753,0.000004932495,0.02896853,0.03215505,0.001465502,0.4614951,0.1850648,0.1474311],"study_design_scores_gemma":[0.0003934374,0.0001493527,0.4963747,0.0001215145,0.00009138998,0.000007021895,0.02420959,0.00007553514,0.01026843,0.0186272,0.4493327,0.0003491117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599519,0.0004123941,0.004991495,0.01632059,0.001164906,0.0008771959,0.00001432941,0.00008378859,0.01618342],"genre_scores_gemma":[0.99898,0.00006861637,0.0004264631,0.00004456487,0.0001326019,0.00001718508,0.000006271236,0.00000240941,0.0003219121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4428679,"threshold_uncertainty_score":0.5005665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06049497393825414,"score_gpt":0.2824497548602601,"score_spread":0.221954780922006,"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."}}