{"id":"W3124069289","doi":"","title":"Productivity trends from 1890 to 2012 in advanced countries","year":2014,"lang":"en","type":"article","venue":"Lyon Meeting","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; LEAPS; Convergence (economics); Economics; World War II; Development economics; Political science; Economic growth; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.001380928,0.0001657333,0.000435382,0.00026586,0.00008637895,0.00005812212,0.0001983719,0.00007536951,0.0003366589],"category_scores_gemma":[0.0005649549,0.0002093753,0.00005717864,0.0002732543,0.0000307717,0.0004792208,0.00007743372,0.0001596288,0.000708355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000985986,"about_ca_system_score_gemma":0.000009080047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009363659,"about_ca_topic_score_gemma":0.0008421125,"domain_scores_codex":[0.9983509,0.00004010896,0.0004866243,0.0007009588,0.00002824082,0.0003931437],"domain_scores_gemma":[0.9990859,0.0001231955,0.0002301366,0.000444091,0.00001676443,0.00009992019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007728727,0.00007811626,0.9307208,0.0000305997,0.00001753835,0.000001073104,0.0009715737,0.0008304231,0.0003631864,0.0294572,0.001395814,0.03605636],"study_design_scores_gemma":[0.0008912002,0.00009084891,0.5866467,0.00005056073,0.000004121092,0.000001063453,0.00005818284,0.001079222,0.002693069,0.03639735,0.3714526,0.0006350642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.928243,0.0008152498,0.0006061185,0.002146696,0.0007805101,0.0001185419,0.00006345016,0.00005075134,0.06717572],"genre_scores_gemma":[0.9954152,0.00002047909,0.002203463,0.0003240764,0.0005135237,0.00003078649,0.00001169792,0.00002457605,0.001456197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3700568,"threshold_uncertainty_score":0.9104707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610504630935531,"score_gpt":0.2107108604886458,"score_spread":0.1946058141792905,"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."}}