{"id":"W2945406563","doi":"10.1093/cje/bez031","title":"Occupational structure in Ireland in the nineteenth century: data sources and avenues of exploration","year":2019,"lang":"en","type":"article","venue":"Cambridge Journal of Economics","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Irish; Census; Famine; Population; Demographic economics; Primary sector of the economy; Economics; Economy; Tertiary sector of the economy; Quarter (Canadian coin); Period (music); Geography; Demography; Sociology","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":[0.0005807492,0.00007479204,0.0003697193,0.0001406633,0.00002726844,0.00002505001,0.0002659906,0.00005626868,0.00001839959],"category_scores_gemma":[0.00008803487,0.00006893962,0.00003822783,0.00006646322,0.0000482034,0.0004242544,0.0000536243,0.0001476597,0.000006410278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001063466,"about_ca_system_score_gemma":0.00003405597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001111593,"about_ca_topic_score_gemma":0.0001528899,"domain_scores_codex":[0.9990358,0.00001972888,0.0006935614,0.0001375326,0.00001526214,0.00009809184],"domain_scores_gemma":[0.9990371,0.0001028918,0.0006617005,0.0001586718,0.0000167026,0.00002288891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007259247,0.00004850044,0.9295351,0.00002647388,0.00004505692,0.0000017098,0.003015275,0.001194209,0.000003753768,0.06422231,0.0009755075,0.0008595535],"study_design_scores_gemma":[0.00165229,0.0001396785,0.918112,0.00003528643,0.00001026612,0.00001088035,0.002377839,0.002601676,0.000005825995,0.009550069,0.06529348,0.0002107442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933515,0.004589428,0.00003201935,0.0003403092,0.000328905,0.00008460102,0.0002189447,6.891152e-7,0.001053622],"genre_scores_gemma":[0.9968398,0.002806286,0.00007874316,0.00008488316,0.0001320942,6.9624e-7,0.00001822358,0.00000598548,0.00003329708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06431798,"threshold_uncertainty_score":0.2811276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05524180248365296,"score_gpt":0.2335243209484034,"score_spread":0.1782825184647504,"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."}}