{"id":"W7034471709","doi":"","title":"Understanding the dynamics of industrial clusters : the case of the Canadian telecommunication equipment manufacturers","year":2005,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Dynamics (music); Field (mathematics); Cluster (spacecraft); Key (lock); System dynamics; Work (physics); Process (computing)","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":[0.0005437785,0.0003389284,0.000178746,0.001485144,0.007455893,0.005718075,0.001437314,0.001470535,0.008844403],"category_scores_gemma":[0.002380822,0.0002435831,0.0003057358,0.00384917,0.003271376,0.002863453,0.001853897,0.00097192,0.0002519702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04947173,"about_ca_system_score_gemma":0.04354297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9852186,"about_ca_topic_score_gemma":0.9918808,"domain_scores_codex":[0.9996401,0.00007117236,0.000005095959,0.00003328704,0.0000677869,0.0001824986],"domain_scores_gemma":[0.9991359,0.0002551696,0.0001069917,0.00003592977,0.0002652656,0.000200751],"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":[0.0001438004,0.0001317983,0.09055966,0.0002752948,0.0000704769,0.004133214,0.1330581,0.0659151,0.001497224,0.5400165,0.05162483,0.1125742],"study_design_scores_gemma":[0.00002839791,0.00003264455,0.1023085,0.0002649739,0.00009121063,0.0003537157,0.4668943,0.04041498,0.0009366471,0.06423371,0.3243569,0.0000840853],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7216216,0.002361157,0.005397447,0.03008214,0.00003820474,0.000111346,0.0007294912,0.0000680197,0.2395907],"genre_scores_gemma":[0.9687793,0.001790933,0.001546386,0.000288011,0.00001243058,0.00001691084,0.0001625917,0.00001610799,0.02738723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04947173,"threshold_uncertainty_score":0.3589442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957329461225507,"score_gpt":0.2337883382831798,"score_spread":0.2042150436709247,"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."}}