{"id":"W3124157774","doi":"","title":"Innovation, Productivity, and Training","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Human capital; Productivity; Stock (firearms); Business; Training (meteorology); Product innovation; Labour economics; Longitudinal data; Job training; Panel data; Industrial organization; Economics; Vocational education; Engineering; Econometrics; Economic growth; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001715156,0.0003043654,0.0004719689,0.001682834,0.0005916638,0.002046518,0.0005341883,0.0009944774,0.005759534],"category_scores_gemma":[0.01314515,0.0001181711,0.0005157015,0.002970768,0.001378833,0.0007193681,0.0009833064,0.001073469,0.0006088687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005636353,"about_ca_system_score_gemma":0.003792859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2450428,"about_ca_topic_score_gemma":0.1912257,"domain_scores_codex":[0.9989865,0.0001304,0.00004804154,0.0001444362,0.0002789547,0.000411672],"domain_scores_gemma":[0.9868661,0.005739638,0.003873339,0.0005477811,0.0009584541,0.002014819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002333746,0.0003125084,0.8907484,0.0001873089,0.0003359139,0.0002866806,0.0006027337,0.01912208,0.0005575311,0.01340504,0.004236905,0.06997148],"study_design_scores_gemma":[0.00002626897,0.0000870883,0.9808763,0.00008938459,0.0001076748,0.00006499247,0.0003544912,0.004660583,0.0003427282,0.007632932,0.005736405,0.00002107384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601107,0.005093031,0.002875313,0.002749185,0.00006948602,0.00005205732,0.002715075,0.0001131597,0.026222],"genre_scores_gemma":[0.9945744,0.0008531112,0.0002166728,0.00008968038,0.00004130295,0.00001159159,0.0006104783,0.000005354655,0.003597596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2450428,"threshold_uncertainty_score":0.487233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0861102162544297,"score_gpt":0.3074628257187649,"score_spread":0.2213526094643352,"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."}}