{"id":"W2052505788","doi":"10.3917/reru.122.0215","title":"Structure socio-spatiale des réseaux d'innovation en secteur manufacturier traditionnel d'une ville moyenne","year":2012,"lang":"fr","type":"article","venue":"Revue d’Économie Régionale & Urbaine","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Philosophy","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":[0.001694278,0.0001480426,0.0002983504,0.001784311,0.003368555,0.003143823,0.0005651429,0.0004806902,0.007917338],"category_scores_gemma":[0.003512538,0.000222229,0.0003035048,0.002052816,0.002300682,0.0009436921,0.00184051,0.0003837819,0.0007175184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01171103,"about_ca_system_score_gemma":0.005329601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3702883,"about_ca_topic_score_gemma":0.6361169,"domain_scores_codex":[0.9986178,0.0004025532,0.000045747,0.0002904028,0.0003119807,0.0003315858],"domain_scores_gemma":[0.9959501,0.001222572,0.0006542106,0.0003167562,0.001404937,0.0004515343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004634965,0.0001393646,0.5921897,0.0004263862,0.0001604585,0.001207407,0.2195139,0.006374654,0.01314709,0.03366706,0.001777663,0.1309329],"study_design_scores_gemma":[0.00001086183,0.0001420175,0.8890197,0.0001001773,0.00004537646,0.000184004,0.07603821,0.002295918,0.001207173,0.001563058,0.02934922,0.00004442671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831007,0.0002662342,0.001429312,0.0001754611,0.000004141147,0.00002437541,0.000112031,0.00002106595,0.01486677],"genre_scores_gemma":[0.9891385,0.0001184711,0.001149286,0.00001330858,0.000002161074,0.00001601639,0.00007003306,0.000007466162,0.009484678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3702883,"threshold_uncertainty_score":0.7362659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038626818853433,"score_gpt":0.2605029855302828,"score_spread":0.2301167173417485,"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."}}