{"id":"W4254064192","doi":"10.4095/300919","title":"Service Industries: Per Capita Income, 1996","year":2010,"lang":"en","type":"report","venue":"","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Per capita income; Per capita; Service (business); Business; Agricultural economics; Economics; Marketing; Demography","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001671676,0.0005120051,0.001207873,0.0005503051,0.0001569793,0.0001668942,0.0008350423,0.001743045,0.04346282],"category_scores_gemma":[0.000325435,0.0005887518,0.0002176508,0.0002358553,0.00009644668,0.0002742727,0.0002793001,0.001717434,0.03492693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003444801,"about_ca_system_score_gemma":0.000766043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02604703,"about_ca_topic_score_gemma":0.00620757,"domain_scores_codex":[0.9970699,0.00001826501,0.001438758,0.0008611729,0.00004009457,0.0005718373],"domain_scores_gemma":[0.9970558,0.0001384956,0.001074141,0.001286143,0.0002033197,0.0002421575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001644386,0.0001034468,0.03217163,0.0004061386,0.0003933723,0.000009981664,0.0007190909,0.000006967295,0.000004330357,0.7962134,0.1669867,0.002968521],"study_design_scores_gemma":[0.0002466961,0.00002401509,0.004226252,0.00002614634,0.00001589896,0.00004029205,0.00007634388,0.00001098297,0.00002115158,0.04904188,0.9455517,0.0007186366],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08522309,0.001950753,0.00002630541,0.00125911,0.004511384,0.0002988862,0.001617963,0.0001297045,0.9049828],"genre_scores_gemma":[0.316742,0.00443905,0.000462755,0.005361742,0.007873789,0.0001530953,0.0009295985,0.0003791444,0.6636589],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.778565,"threshold_uncertainty_score":0.9996564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05528952770441331,"score_gpt":0.2587306578359333,"score_spread":0.20344113013152,"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."}}