{"id":"W1499266656","doi":"","title":"Economies d'agglomeration: estimations de panel de microdonnees du secteur canadien de la fabrication","year":2008,"lang":"fr","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008068061,0.0002486194,0.0004932335,0.0003465788,0.0005420613,0.0002317163,0.0002976856,0.0002798605,0.00151897],"category_scores_gemma":[0.0002778587,0.0003483977,0.0002798369,0.0002629593,0.0002959078,0.0004435833,0.0000509919,0.0002060628,0.0004661414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537674,"about_ca_system_score_gemma":0.0004279093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07077513,"about_ca_topic_score_gemma":0.01645125,"domain_scores_codex":[0.9980407,0.00008995284,0.0007995118,0.0004729188,0.00002496946,0.0005719425],"domain_scores_gemma":[0.9985859,0.0003062122,0.0004172029,0.0003374509,0.00008696493,0.0002662541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000108975,0.0001908097,0.4518467,0.00004069046,0.0003069272,0.00002959068,0.00323845,0.05892897,0.00002664593,0.4636166,0.01908062,0.002683091],"study_design_scores_gemma":[0.0004544869,0.00004826514,0.3557364,0.00001738229,0.00005522129,0.000379497,0.0002181874,0.4526506,0.000136147,0.02843627,0.161347,0.0005205187],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8582472,0.003799124,0.08141221,0.02410384,0.0004218553,0.0001652163,0.000258142,0.00004142683,0.031551],"genre_scores_gemma":[0.9499426,0.01130034,0.01530928,0.001263087,0.0006522008,0.00005587102,0.0001076057,0.00003909659,0.02132986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4351804,"threshold_uncertainty_score":0.9998968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723473349856225,"score_gpt":0.2015453667901969,"score_spread":0.1743106332916347,"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."}}