{"id":"W2887147889","doi":"","title":"Douglass North, Shipping Productivity and Institutions","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University","funders":"","keywords":"Productivity; Work (physics); Empirical research; Economics; Regional science; Economy; Political science; Classical economics; Sociology; Economic growth; Engineering","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":[0.001211434,0.0007068346,0.0004770133,0.002716258,0.002445166,0.004259489,0.0006490218,0.002330102,0.008831501],"category_scores_gemma":[0.004311297,0.0003038516,0.0002467965,0.005440521,0.005893088,0.007065495,0.001467017,0.002699417,0.001746789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004832844,"about_ca_system_score_gemma":0.002792212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246355,"about_ca_topic_score_gemma":0.02519051,"domain_scores_codex":[0.9991137,0.0003506414,0.00004357209,0.0001515399,0.0002318392,0.0001085601],"domain_scores_gemma":[0.9971591,0.001607126,0.0004242808,0.0001075948,0.0004496074,0.0002523456],"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":[0.00002809808,0.000040085,0.002780096,0.0001631719,0.000017394,0.00006411628,0.002091567,0.0004745596,0.00004306859,0.8564584,0.1143809,0.0234586],"study_design_scores_gemma":[0.00001212101,0.00002062759,0.006886162,0.0006273849,0.00001375965,0.0000941378,0.001809878,0.0003183326,0.0001172145,0.4963346,0.4937363,0.00002942673],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01929262,0.3748614,0.007153791,0.2773422,0.003919395,0.00002824748,0.001022846,0.00008009977,0.3162994],"genre_scores_gemma":[0.4791853,0.3899643,0.003983321,0.01496137,0.005152215,0.00009040307,0.0006082287,0.0001033613,0.1059514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02246355,"threshold_uncertainty_score":0.04466563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05336854897024186,"score_gpt":0.2245475317395793,"score_spread":0.1711789827693374,"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."}}