{"id":"W257787915","doi":"","title":"Les Circuits D'information En Region: Convergences et Effet De Milieu","year":2002,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Circulation (fluid dynamics); Regional science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009201137,0.0005639975,0.0007026363,0.005174693,0.005796058,0.01196072,0.001303201,0.001519899,0.01461385],"category_scores_gemma":[0.05229098,0.0004592205,0.0004677793,0.005445976,0.008713514,0.007701421,0.009951333,0.001925356,0.000926166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01144352,"about_ca_system_score_gemma":0.01043664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.160612,"about_ca_topic_score_gemma":0.1207267,"domain_scores_codex":[0.9851105,0.008305993,0.0004280208,0.001305814,0.003368133,0.001481493],"domain_scores_gemma":[0.9598929,0.02128262,0.004954586,0.00147871,0.00838017,0.004010972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009209429,0.0002535296,0.4279778,0.001185796,0.0003177297,0.0009040709,0.3141249,0.001112233,0.001297084,0.0696694,0.008507862,0.1737287],"study_design_scores_gemma":[0.0001179027,0.0004481267,0.6908319,0.001257303,0.000300336,0.0003349302,0.2387302,0.0009772957,0.0009739289,0.01110349,0.05482357,0.00010092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7577301,0.004417158,0.002988542,0.01016711,0.0001200382,0.0002763661,0.0005992486,0.0001339856,0.2235675],"genre_scores_gemma":[0.9921798,0.001243082,0.0005816799,0.0004838175,0.00004206023,0.00009281582,0.0001334649,0.00003738022,0.005205927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.160612,"threshold_uncertainty_score":0.3193543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04435705682147202,"score_gpt":0.2349968359902545,"score_spread":0.1906397791687825,"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."}}