{"id":"W4299369893","doi":"","title":"Communication sur le lieu de travail et productivité : effets directs et externalités d'agglomération","year":2006,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economies of agglomeration; Externality; Productivity; Industrial organization; Economics; Business; Economic geography; Microeconomics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006447479,0.0004560837,0.0008550175,0.001956591,0.00252671,0.009932474,0.001092137,0.00412667,0.04427911],"category_scores_gemma":[0.03469841,0.0005641115,0.0007165584,0.004249804,0.002766271,0.004970766,0.005041921,0.002599925,0.005762096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005009079,"about_ca_system_score_gemma":0.003829558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02942361,"about_ca_topic_score_gemma":0.01718802,"domain_scores_codex":[0.9940124,0.00242687,0.0002821821,0.0006766609,0.001795153,0.0008066644],"domain_scores_gemma":[0.8957304,0.07898537,0.008804864,0.003143093,0.00857958,0.004756741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005426181,0.001480144,0.4173253,0.00301598,0.00119296,0.002495271,0.0999091,0.02679267,0.007190349,0.1793523,0.04442467,0.2113951],"study_design_scores_gemma":[0.0006383252,0.001217324,0.6785202,0.001370235,0.0007416654,0.0005129845,0.08392259,0.009796567,0.007518373,0.07027604,0.1452529,0.0002327328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7504338,0.003592364,0.002922716,0.02455376,0.0001798026,0.00009455119,0.001681838,0.0002151227,0.216326],"genre_scores_gemma":[0.9785094,0.001102785,0.0003223433,0.000409577,0.0001084289,0.0000487611,0.0002434646,0.0000622091,0.01919296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04427911,"threshold_uncertainty_score":0.1481284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483054224967073,"score_gpt":0.2352362893665725,"score_spread":0.2204057471169018,"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."}}