{"id":"W2061353550","doi":"10.7202/1008166ar","title":"Gouvernement territorial et district industriel : l'exemple de Montpellier","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Local Development; Geography; Philosophy; Regional science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003418868,0.0001949412,0.000154684,0.0007141951,0.00282181,0.00276354,0.0004812291,0.0007261598,0.01251442],"category_scores_gemma":[0.0005805967,0.0001099947,0.0002260745,0.001542002,0.002558823,0.0008337942,0.001504566,0.0004514515,0.0006220037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007397662,"about_ca_system_score_gemma":0.002775502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2270721,"about_ca_topic_score_gemma":0.3908418,"domain_scores_codex":[0.9994045,0.000214784,0.000009438409,0.00009421488,0.00008945796,0.0001875489],"domain_scores_gemma":[0.9997545,0.00007844363,0.00003982015,0.00002415634,0.00003982699,0.0000633563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004092383,0.0001499628,0.05557872,0.0004367091,0.00007601149,0.00400549,0.07717381,0.005663556,0.005905448,0.7036153,0.01757483,0.1294109],"study_design_scores_gemma":[0.00004344437,0.000195238,0.2132047,0.0001781933,0.00003815492,0.0007386836,0.03589251,0.001508741,0.001059237,0.01150541,0.735586,0.00004978409],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6383515,0.004483354,0.004027397,0.005481427,0.00006650566,0.00005252788,0.0003188924,0.00009984014,0.3471185],"genre_scores_gemma":[0.9525197,0.0005560505,0.0009298702,0.000177249,0.00002104158,0.00001594932,0.00009016346,0.00001676129,0.04567329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2270721,"threshold_uncertainty_score":0.4515008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013045537063945,"score_gpt":0.2720086186664242,"score_spread":0.2418781632957847,"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."}}