{"id":"W1479862238","doi":"","title":"Villes et croissance : le cerveau gauche des villes nord-américaines : scientifiques et ingénieurs et croissance urbaine","year":2008,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00923567,0.001317877,0.002957392,0.002309995,0.001153623,0.001334026,0.002598278,0.00109902,0.0003341839],"category_scores_gemma":[0.002089651,0.001703887,0.001395423,0.001075187,0.003311559,0.00125328,0.002440217,0.003172958,0.000159656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002254458,"about_ca_system_score_gemma":0.001520209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01839461,"about_ca_topic_score_gemma":0.03791174,"domain_scores_codex":[0.9888945,0.0009416815,0.003628825,0.003856212,0.0003114387,0.002367341],"domain_scores_gemma":[0.9925526,0.001804446,0.001936312,0.002451467,0.0005880552,0.0006671628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004569299,0.002227228,0.2146499,0.0009758123,0.001431007,0.000225783,0.007134573,0.2308158,0.0002033546,0.4891426,0.003099242,0.04963774],"study_design_scores_gemma":[0.003172123,0.0004911114,0.2075239,0.001873812,0.00005429504,0.0001586788,0.002330324,0.1339404,0.0004790116,0.08317897,0.5623358,0.004461471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8159086,0.01031536,0.0006180899,0.04705229,0.001336605,0.001361667,0.001283019,0.0001106827,0.1220137],"genre_scores_gemma":[0.7040446,0.2702493,0.00460192,0.001009019,0.0003377841,0.0004133413,0.0003763838,0.0002462167,0.01872135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5592366,"threshold_uncertainty_score":0.9999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07817131448979936,"score_gpt":0.3170501958669033,"score_spread":0.2388788813771039,"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."}}