{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00251914,0.0002285576,0.0004296654,0.000487859,0.0005370853,0.0002213921,0.001371283,0.0003550883,0.00005274686],"category_scores_gemma":[0.00120694,0.0001634324,0.00009252356,0.0002497691,0.0008522881,0.00009662867,0.001285361,0.000834834,0.00004384253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376377,"about_ca_system_score_gemma":0.001752305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02307895,"about_ca_topic_score_gemma":0.187214,"domain_scores_codex":[0.9973173,0.00007815334,0.0008192984,0.0007590273,0.0001358468,0.0008904373],"domain_scores_gemma":[0.997676,0.0005227097,0.0002930087,0.001052568,0.0001005804,0.0003551202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002329949,0.0001104919,0.5410923,0.0001952458,0.0002519906,0.00001931847,0.003118223,0.009810711,0.00002156519,0.08295781,0.0345708,0.3276185],"study_design_scores_gemma":[0.0004009056,0.00008040151,0.2484046,0.0003891441,0.000002693832,0.000007469717,0.001169667,0.001199148,0.0001198816,0.03895841,0.7086616,0.0006060994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7287016,0.001459596,0.000007550181,0.02994893,0.00104563,0.001857093,0.000384438,0.00001202334,0.2365832],"genre_scores_gemma":[0.9749277,0.01286438,0.00009210494,0.0003122506,0.00008709743,0.0001965122,0.000004219403,0.00003029492,0.01148548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6740907,"threshold_uncertainty_score":0.9834265,"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."}}