{"id":"W1595016958","doi":"10.2139/ssrn.2093526","title":"Intangible Capital and Productivity Growth in Canada","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Productivity; Capital (architecture); Economics; Natural resource economics; Business; Macroeconomics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002296466,0.0001272926,0.0002699365,0.0001467259,0.00008905437,0.00002784396,0.0001278139,0.00004092057,0.00003946426],"category_scores_gemma":[0.0001318344,0.0001443874,0.00003524272,0.0001397785,0.00002771224,0.0006601226,0.0000389735,0.0009517689,0.0000325708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002427829,"about_ca_system_score_gemma":0.001268481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5920517,"about_ca_topic_score_gemma":0.8332721,"domain_scores_codex":[0.9975336,0.00002577861,0.0003413449,0.0002407393,0.00002767114,0.001830905],"domain_scores_gemma":[0.9995245,0.0000248944,0.0001845634,0.000124326,0.00001424106,0.0001274756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009078931,0.00002883469,0.7307177,0.000005492703,0.00002386155,5.972319e-7,0.0001359423,0.000001780414,0.000006298601,0.2678461,0.00004370039,0.001180629],"study_design_scores_gemma":[0.0005508116,0.00006421038,0.4019138,0.00000468572,0.00000446943,0.0003482863,0.0009240338,0.00003235408,0.0001546213,0.5940598,0.001615562,0.0003272873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817277,0.01396154,0.0002049573,0.001224856,0.0005335571,0.00009022091,0.00001274108,0.000005128975,0.002239326],"genre_scores_gemma":[0.9978245,0.001355934,0.00003642689,0.0000576074,0.0004032018,0.00000479592,0.000001824595,0.00001554069,0.0003001438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3288038,"threshold_uncertainty_score":0.6348689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009451847781526659,"score_gpt":0.1716256908028732,"score_spread":0.1621738430213465,"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."}}