{"id":"W1983422137","doi":"10.7202/012840ar","title":"Les gains de productivité au moyen de l’usage des technologies de l’information : l’expérience australienne","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economic Growth and Productivity","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":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":[0.00251933,0.0003028056,0.0003109089,0.001102546,0.0008834166,0.003305423,0.0003909706,0.0006538947,0.006564572],"category_scores_gemma":[0.005425239,0.0002124297,0.0003724587,0.002386557,0.001222665,0.002770121,0.001529159,0.001056315,0.001101718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435867,"about_ca_system_score_gemma":0.001855142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02566003,"about_ca_topic_score_gemma":0.0293836,"domain_scores_codex":[0.9985464,0.000375952,0.00006080774,0.0002000589,0.0005511823,0.000265541],"domain_scores_gemma":[0.9940732,0.002813913,0.0007738767,0.0005122503,0.001389918,0.0004368642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001307626,0.0008629743,0.1602463,0.0009820134,0.0001170096,0.001726777,0.1118488,0.003899593,0.03177944,0.03804057,0.005584647,0.6436042],"study_design_scores_gemma":[0.0001118469,0.002427092,0.5396274,0.0003500106,0.0001795926,0.002080721,0.05015229,0.005005924,0.03485982,0.008768318,0.3562773,0.0001596052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9226396,0.001028894,0.003193669,0.0009012475,0.00003275134,0.00004894963,0.0002060188,0.00004488368,0.07190397],"genre_scores_gemma":[0.9582723,0.001423944,0.002914863,0.0001162519,0.00003277622,0.00004103882,0.0001243196,0.00003968654,0.03703471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02566003,"threshold_uncertainty_score":0.05102134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04720863167499387,"score_gpt":0.2346530925862658,"score_spread":0.187444460911272,"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."}}