{"id":"W3124901408","doi":"","title":"Wages, Human Capital, and Structural Transformation","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human capital; Wage; Economics; Labour economics; Agriculture; Economic growth; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000695552,0.00008013628,0.0001345792,0.0001105127,0.0007823448,0.0002552154,0.0001872783,0.00005072192,0.00006638892],"category_scores_gemma":[0.00002636033,0.00008269887,0.00004239988,0.00003053852,0.00005029386,0.0006198279,0.00001439336,0.0005706145,0.00004014391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722996,"about_ca_system_score_gemma":0.00005864826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001478294,"about_ca_topic_score_gemma":0.0003345598,"domain_scores_codex":[0.9989225,0.000004894843,0.0002971961,0.0001135838,0.00002742104,0.0006344522],"domain_scores_gemma":[0.9994856,0.00000324219,0.0003047044,0.0001478105,0.00002279562,0.0000358235],"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":[0.000003509777,0.000004042721,0.01433116,0.000003452909,0.00002670311,3.606123e-7,0.0002638891,7.220572e-7,0.00004243904,0.9821498,0.00002501856,0.003148875],"study_design_scores_gemma":[0.0006053333,0.0000821143,0.09148316,0.000003358218,0.000002613793,0.00008705103,0.0002235649,0.0001077519,0.00003572039,0.9048841,0.002366758,0.0001184658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864063,0.00131813,0.001423949,0.001869747,0.0001669515,0.00005579838,0.000008144254,0.00001095564,0.008739967],"genre_scores_gemma":[0.9981396,0.0007344336,0.00002795515,0.00007391992,0.0001248336,0.000001346118,0.000005964762,0.000009549811,0.0008824283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07726572,"threshold_uncertainty_score":0.6017243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874082737085776,"score_gpt":0.2376276028383614,"score_spread":0.2188867754675037,"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."}}