{"id":"W2170038813","doi":"10.7202/012841ar","title":"L’utilisation des technologies de l’information et sa contribution à la croissance en Australie","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; Art","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":[0.002995224,0.0005170854,0.000442012,0.002573913,0.001009637,0.006046989,0.0007206904,0.0009698364,0.009793009],"category_scores_gemma":[0.01225253,0.0004099559,0.0005927636,0.004503352,0.001723233,0.004395215,0.002255379,0.002092484,0.001519858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00437637,"about_ca_system_score_gemma":0.005492446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04726338,"about_ca_topic_score_gemma":0.0549883,"domain_scores_codex":[0.9972813,0.000614128,0.0001404876,0.0004279902,0.001075249,0.0004608301],"domain_scores_gemma":[0.9883025,0.003965162,0.002887827,0.000583028,0.003356647,0.0009047679],"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":[0.0005488094,0.0002598251,0.1795479,0.003501466,0.0004518841,0.002055379,0.03921248,0.005338741,0.01511886,0.1051026,0.006342651,0.6425195],"study_design_scores_gemma":[0.00004196721,0.0006626759,0.4708787,0.002491349,0.0003213446,0.00165805,0.02126639,0.005052217,0.009531481,0.02281081,0.4651227,0.0001622949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7772877,0.02536238,0.01920297,0.008169851,0.0004275143,0.0001595066,0.001517265,0.0001527599,0.16772],"genre_scores_gemma":[0.9336174,0.01381588,0.01030263,0.0006364994,0.0001543399,0.00007755452,0.0004767561,0.00009318648,0.04082581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04726338,"threshold_uncertainty_score":0.09397656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721046704640001,"score_gpt":0.227318030598585,"score_spread":0.200107563552185,"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."}}