{"id":"W1792687395","doi":"10.2139/ssrn.518242","title":"Why Information Should Influence Productivity","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Productivity; Environmental science; Economics; Economic growth","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":[0.003694836,0.0003505288,0.0004593856,0.001217272,0.001064904,0.005259475,0.0004650304,0.003393318,0.01678503],"category_scores_gemma":[0.04622292,0.0003642341,0.0004451709,0.001520918,0.002534277,0.004923034,0.001399025,0.002450883,0.003581638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536216,"about_ca_system_score_gemma":0.001499161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0032682,"about_ca_topic_score_gemma":0.001592835,"domain_scores_codex":[0.9972063,0.001115772,0.00009091553,0.000426529,0.0005628841,0.0005976479],"domain_scores_gemma":[0.9487833,0.03575634,0.003788922,0.003209641,0.005156434,0.003305347],"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":[0.00236555,0.001076433,0.2003766,0.001061389,0.0005970945,0.001741395,0.008533529,0.007453504,0.006082816,0.5241991,0.08789589,0.1586168],"study_design_scores_gemma":[0.0003416131,0.0002708895,0.09289676,0.0002063355,0.0002408778,0.0003268137,0.003032061,0.005003247,0.004196975,0.8540239,0.03937271,0.00008778589],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5216201,0.004574057,0.01122139,0.1588407,0.00144008,0.00008051949,0.001420069,0.0003826113,0.3004205],"genre_scores_gemma":[0.9911117,0.0004852127,0.0005802846,0.003089493,0.0003597956,0.00001437398,0.00007972999,0.00004354223,0.004235893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01678503,"threshold_uncertainty_score":0.05615151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548642158200861,"score_gpt":0.2050900789488123,"score_spread":0.1896036573668037,"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."}}