{"id":"W1539020212","doi":"10.2139/ssrn.1471427","title":"Understanding Productivity: A Primer","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Primer (cosmetics); Productivity; Business; Economics; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003166199,0.001485461,0.001189319,0.004917454,0.002028331,0.01022791,0.002739318,0.006262741,0.01552405],"category_scores_gemma":[0.005883299,0.0007785233,0.001066302,0.005630617,0.01006669,0.02351206,0.003137427,0.0082546,0.005592722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004568494,"about_ca_system_score_gemma":0.002996263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004007454,"about_ca_topic_score_gemma":0.002388797,"domain_scores_codex":[0.9985694,0.0005554942,0.0001122152,0.0003267844,0.0002906951,0.0001453726],"domain_scores_gemma":[0.9955981,0.003188962,0.0002164629,0.0002679011,0.0004943445,0.0002342041],"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":[0.000006819613,0.00003165047,0.0002883,0.0001440495,0.00000788083,0.00004750746,0.0007637875,0.0003184122,0.00007795537,0.9548169,0.01595088,0.02754591],"study_design_scores_gemma":[0.00000380793,0.000008358074,0.0002609555,0.0002440704,0.000003957748,0.00006883269,0.0004103197,0.0003596032,0.00007430916,0.8681402,0.130415,0.00001058219],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004200485,0.2526842,0.1793031,0.3275847,0.00514613,0.00009040693,0.0007230651,0.0004268271,0.229841],"genre_scores_gemma":[0.31342,0.4206612,0.09139021,0.05897291,0.02337717,0.0007149408,0.0008912554,0.0006322135,0.08994015],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01552405,"threshold_uncertainty_score":0.05193317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04682043105805132,"score_gpt":0.2074746983892115,"score_spread":0.1606542673311602,"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."}}