{"id":"W2489416979","doi":"","title":"The resilience of the Canadian textile industries and clusters to shocks, 2001-2013","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic geography; Psychological resilience; Productivity; Resilience (materials science); Cluster (spacecraft); Business; Cluster analysis; Shock (circulatory); Revenue; Natural resource economics; Economics; Economic growth; Computer science","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":[0.0006706959,0.0004408064,0.0003118686,0.002990613,0.002552466,0.00196596,0.001033098,0.0003809491,0.003028555],"category_scores_gemma":[0.003421094,0.0002702307,0.0005409695,0.006038242,0.001157184,0.0005454185,0.001918696,0.0005431871,0.0002851564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03895866,"about_ca_system_score_gemma":0.0254307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926824,"about_ca_topic_score_gemma":0.9952095,"domain_scores_codex":[0.9990747,0.00003004352,0.00002893037,0.0001427202,0.0003346109,0.0003889104],"domain_scores_gemma":[0.9981396,0.00006581211,0.0003506401,0.00009367411,0.001016068,0.0003341546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002886365,0.00004316229,0.9122508,0.0002700505,0.0002401843,0.0003922069,0.005922201,0.007342766,0.001550006,0.003415932,0.01203609,0.0562479],"study_design_scores_gemma":[0.000001631368,0.000007376757,0.9924721,0.00002202553,0.00001272083,0.00002210044,0.001920712,0.0005712599,0.00007951429,0.00007566857,0.00480276,0.00001228635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673935,0.001215457,0.0006494316,0.001305951,0.00002956732,0.0000758971,0.01552696,0.00005419964,0.01374921],"genre_scores_gemma":[0.9923292,0.0006415166,0.0002748751,0.0000682032,0.000008352212,0.00001233959,0.003807953,0.000009280258,0.002848295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03895866,"threshold_uncertainty_score":0.2826662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04543076131535603,"score_gpt":0.2808068483098662,"score_spread":0.2353760869945102,"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."}}