{"id":"W7010580143","doi":"","title":"Informatisation, productivité et emploi : des effets différenciés entre secteurs industriels selon le niveau technologique","year":2018,"lang":"fr","type":"article","venue":"Gallica (Bibliothèque nationale de France)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Order (exchange); Term (time); Quarter (Canadian coin)","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":["insufficient_payload"],"category_scores_codex":[0.002323846,0.0004848479,0.0006813197,0.002320987,0.0006025222,0.0004321439,0.0006759205,0.0009134877,0.001232455],"category_scores_gemma":[0.002507626,0.0006718628,0.000193312,0.003535365,0.0009158668,0.003458728,0.0001787838,0.001044314,0.000789604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006766076,"about_ca_system_score_gemma":0.0009869186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000809268,"about_ca_topic_score_gemma":0.0008926194,"domain_scores_codex":[0.9966131,0.0001784053,0.001104969,0.001019472,0.0001536217,0.0009303907],"domain_scores_gemma":[0.9972047,0.0004055458,0.0008935574,0.0007213565,0.0005539022,0.0002209425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005635313,0.000683771,0.687968,0.0003333933,0.0002210677,0.000004902854,0.003748681,0.0003253643,0.00019122,0.2462856,0.03788718,0.02229442],"study_design_scores_gemma":[0.001502238,0.0002742615,0.4787273,0.0001768296,0.00001918959,0.0000769687,0.0001378854,0.001175001,0.005842851,0.1208928,0.3903201,0.0008546558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9095982,0.01344714,0.01371888,0.02857232,0.00217604,0.0009965813,0.0005682571,0.0002494459,0.03067319],"genre_scores_gemma":[0.9625379,0.004372505,0.005773446,0.001245727,0.001364464,0.0001864159,0.0001333972,0.00007621968,0.0243099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3524329,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885854721142181,"score_gpt":0.2271639723763439,"score_spread":0.2083054251649221,"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."}}