{"id":"W7098847268","doi":"","title":"Read All about it!! What Happens Following a Technology Shock?,” mimeo","year":2004,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Field (mathematics); Technological change; Capital (architecture); Business cycle; Empirical research; Component (thermodynamics); Empirical evidence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001388749,0.0004920761,0.0004307348,0.001141579,0.001483013,0.004058545,0.0006881341,0.00209104,0.06652951],"category_scores_gemma":[0.01254148,0.000280024,0.0004247619,0.001733262,0.001023333,0.006350441,0.001097704,0.00168515,0.03588313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205658,"about_ca_system_score_gemma":0.000923197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005782365,"about_ca_topic_score_gemma":0.01154429,"domain_scores_codex":[0.9994387,0.0001993924,0.00004566338,0.00007968354,0.000161026,0.00007544388],"domain_scores_gemma":[0.9974698,0.00106137,0.0002706428,0.0001499737,0.0006988001,0.0003494937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000557889,0.00001785058,0.002120832,0.0001283247,0.000008378544,0.0001441628,0.0008075376,0.000104682,0.0001670185,0.007841478,0.9245703,0.06403361],"study_design_scores_gemma":[0.00001313454,0.0000266171,0.007085913,0.0001429561,0.000008739118,0.000158448,0.001612736,0.0003349626,0.0001975756,0.005467471,0.9849247,0.00002663091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01076302,0.01644204,0.004907491,0.7118465,0.04520603,0.00009608208,0.004106498,0.0009946192,0.2056378],"genre_scores_gemma":[0.1084942,0.03651529,0.006893006,0.1858742,0.02603588,0.0002663578,0.003749092,0.001393686,0.6307783],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06652951,"threshold_uncertainty_score":0.2225634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202031358606795,"score_gpt":0.2567165936203695,"score_spread":0.2446962800343015,"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."}}