{"id":"W1607275453","doi":"10.2139/ssrn.909300","title":"Investments in Information Technology: Indirect Effects and Information Technology Intensity","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Production (economics); Productivity; Capital intensity; Industrial organization; Production function; Value (mathematics); Manufacturing sector; Capital (architecture); Economics; Function (biology); Manufacturing; Measure (data warehouse); Microeconomics; Business; Econometrics; Labour economics; Marketing; Computer science; Macroeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001219825,0.0001329913,0.0002951714,0.001632623,0.0001140546,0.00006737276,0.0001577089,0.0002139557,0.000003993523],"category_scores_gemma":[0.0002138159,0.0001523731,0.00003304523,0.0005333011,0.00007641557,0.002434412,0.00006080483,0.001111572,0.0001466192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007190345,"about_ca_system_score_gemma":0.000159421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001940784,"about_ca_topic_score_gemma":0.0002100059,"domain_scores_codex":[0.9983307,0.00001110625,0.0005680404,0.0001382568,0.00002479045,0.0009270856],"domain_scores_gemma":[0.9993352,0.00001451096,0.000436246,0.0001469535,0.00003626486,0.00003078092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001645344,0.00001912488,0.379243,0.00001434558,0.00002216711,4.478125e-7,0.00005712808,0.000009855683,0.000009134519,0.6072807,0.00004039278,0.01328727],"study_design_scores_gemma":[0.0008340628,0.0001204136,0.08576217,0.00001100907,0.000003426363,0.0001478882,0.0001691047,0.0001577113,0.000300842,0.906762,0.005573477,0.0001579235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889538,0.002758566,0.002762992,0.002080742,0.0002287935,0.0002099207,0.000006342585,0.00005245885,0.002946439],"genre_scores_gemma":[0.9984469,0.00101291,0.0002524261,0.0001732064,0.00004425604,0.00001404906,0.00001216666,0.000005979577,0.00003807038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2994813,"threshold_uncertainty_score":0.6213596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004213073967443028,"score_gpt":0.1689076840164533,"score_spread":0.1646946100490103,"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."}}