{"id":"W7024814677","doi":"","title":"The (spatialized) hub-and-spoke industrial district model: an empirical case study of Montreal’s aerospace sector","year":2009,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Aerospace; Industrial district; Empirical research; Secondary sector of the economy; Manufacturing sector","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":[0.001072388,0.0005253352,0.0007117036,0.001135165,0.001397654,0.00316418,0.002325131,0.001340187,0.01509474],"category_scores_gemma":[0.003683155,0.0004313025,0.0007483652,0.002819736,0.001570644,0.001502783,0.001071146,0.001150256,0.0008056088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01096497,"about_ca_system_score_gemma":0.005888648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7928076,"about_ca_topic_score_gemma":0.8394715,"domain_scores_codex":[0.9993002,0.0003331184,0.00001965761,0.0001024864,0.00003698874,0.000207426],"domain_scores_gemma":[0.9977411,0.001308927,0.0002487291,0.0001080158,0.0002588787,0.0003343705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004555591,0.0006047951,0.05865021,0.0001673663,0.000179183,0.001374166,0.001020958,0.8110938,0.0003099523,0.1039355,0.009624056,0.01258445],"study_design_scores_gemma":[0.0005084982,0.000247825,0.03591552,0.00006637812,0.0002577395,0.0001636821,0.006329899,0.9263168,0.0002252995,0.02194226,0.00793041,0.00009567443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570512,0.0004711677,0.009555139,0.001525611,0.00003024452,0.0002540591,0.003399361,0.0001557907,0.0275575],"genre_scores_gemma":[0.9886963,0.000225797,0.00206944,0.00004484088,0.000008453915,0.00005285874,0.0006085885,0.00001627426,0.008277359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2071924,"threshold_uncertainty_score":0.4168252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589630239641456,"score_gpt":0.2700799935116204,"score_spread":0.2441836911152058,"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."}}