{"id":"W4230026513","doi":"10.4095/301116","title":"Growth Rate of Commercial Service Employment, 1986 to 1996","year":2010,"lang":"en","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Business; Labour economics; Operations management; Economics; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001179377,0.0005515345,0.0003256869,0.004319078,0.0005590117,0.001338573,0.0009847747,0.0005476484,0.004092535],"category_scores_gemma":[0.005734818,0.0003052581,0.0003280875,0.008266366,0.0002847424,0.0008925089,0.001045399,0.0008989131,0.004615017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00556725,"about_ca_system_score_gemma":0.002961653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4662545,"about_ca_topic_score_gemma":0.4120711,"domain_scores_codex":[0.9988361,0.00007174709,0.0001460599,0.0001920379,0.0004932635,0.0002607485],"domain_scores_gemma":[0.9933975,0.0004072437,0.00169954,0.0001653069,0.003700588,0.0006297894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007173687,0.0001227099,0.8799275,0.0003577278,0.00008424445,0.0003176898,0.0009978203,0.001403283,0.0007627059,0.0008039812,0.05863937,0.05586567],"study_design_scores_gemma":[0.00001392801,0.00003190931,0.9670597,0.00006772018,0.00001402481,0.000155378,0.0003350413,0.000361513,0.0004816166,0.00002032787,0.03144914,0.000009652033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5087678,0.003339484,0.0005741926,0.001781649,0.0001530785,0.0001397294,0.4593362,0.0003190517,0.02558876],"genre_scores_gemma":[0.5885305,0.006689779,0.000894422,0.0003855536,0.0001914404,0.0001926999,0.3413241,0.000103483,0.0616879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4662545,"threshold_uncertainty_score":0.9270811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08687758398939524,"score_gpt":0.2819655394535188,"score_spread":0.1950879554641235,"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."}}