{"id":"W3013414029","doi":"10.1787/c8b88d8b-en","title":"Occupational entry regulations and their effects on productivity in services: Firm-level evidence","year":2020,"lang":"en","type":"paratext","venue":"OECD Economics Department working papers","topic":"Occupational and Professional Licensing Regulation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"123 Certification (Canada)","funders":"","keywords":"Productivity; Business; Labour economics; Channel (broadcasting); Industrial organization; Economics; Economic growth; Telecommunications","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":[0.005304438,0.0004123071,0.0008064985,0.002919203,0.0006552781,0.003599069,0.001065238,0.001139881,0.0113702],"category_scores_gemma":[0.03477903,0.0002751325,0.001595924,0.006452799,0.001865386,0.001512207,0.002555014,0.001727428,0.002246727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812872,"about_ca_system_score_gemma":0.001643284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04915819,"about_ca_topic_score_gemma":0.03407553,"domain_scores_codex":[0.9925423,0.002300326,0.000590692,0.001319955,0.001719385,0.001527346],"domain_scores_gemma":[0.8711069,0.06949688,0.04595587,0.004491231,0.004524005,0.004425087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003593423,0.0002087165,0.9738505,0.0002129088,0.0006153444,0.0002279603,0.0003330917,0.001936179,0.0001576034,0.001946672,0.002197243,0.01795452],"study_design_scores_gemma":[0.0000431336,0.0002698371,0.9898763,0.0001757953,0.0003430138,0.00005229006,0.001034997,0.00113893,0.0004453829,0.0007758606,0.005817464,0.00002686371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597152,0.01032083,0.001801465,0.002884473,0.0001273833,0.00006260668,0.007652256,0.000123602,0.01731222],"genre_scores_gemma":[0.9922679,0.002182768,0.0001402199,0.000230732,0.00008539683,0.00002545585,0.002673728,0.00001410328,0.002379687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04915819,"threshold_uncertainty_score":0.09774411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05925275381476076,"score_gpt":0.2547900058681702,"score_spread":0.1955372520534094,"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."}}