{"id":"W271754794","doi":"","title":"Consistent Business Generators: Urban Leaders in Canada's Next wave/Les Generateurs Continues D'affaires : Les Chefs De Fils Dans la Prochaine Vague Au Canada","year":2007,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decentralization; Political science; Distribution (mathematics); Centrality; Economy; Revenue; Humanities; Geography; Economics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002115958,0.0002450075,0.0004374051,0.0007747142,0.0004856848,0.0001820783,0.0005894814,0.0001267406,0.00009073947],"category_scores_gemma":[0.0006784573,0.0002878203,0.00006744742,0.001899097,0.001512099,0.0004212965,0.00002110504,0.0004224736,0.000001184699],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01010468,"about_ca_system_score_gemma":0.07553158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993562,"about_ca_topic_score_gemma":0.9999793,"domain_scores_codex":[0.9972296,0.00004869089,0.001024443,0.0003598472,0.0002570465,0.001080312],"domain_scores_gemma":[0.9973666,0.0001391757,0.000705894,0.0001772145,0.0006381522,0.0009729515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001903753,0.00003154078,0.8411836,0.00008157007,0.00004964852,0.001919004,0.002620705,0.002744939,0.0002906562,0.09342954,0.04923713,0.008392649],"study_design_scores_gemma":[0.0004892213,0.00003679094,0.6729046,0.0002992675,0.000008786538,0.0006726464,0.007482875,0.00117773,0.0005427414,0.0002428962,0.3157075,0.0004349249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580886,0.009403395,0.0005987418,0.0273151,0.001825345,0.0001166548,0.0001410833,0.000002138614,0.002508887],"genre_scores_gemma":[0.9959764,0.0001780414,0.000642642,0.001489759,0.0005060412,0.00000211486,0.000007310022,0.00001954124,0.001178127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2664704,"threshold_uncertainty_score":0.9999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360199910819911,"score_gpt":0.2014445085968739,"score_spread":0.1578425094886747,"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."}}