{"id":"W4402423783","doi":"10.24908/iqurcp18003","title":"Markov Genealogy Processes","year":2024,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Genealogy; Markov chain; Mathematics; History; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00556124,0.0002082694,0.0002842325,0.000822332,0.001053602,0.001732873,0.0007390409,0.0001770818,0.0003614483],"category_scores_gemma":[0.002285541,0.0001898171,0.0001115155,0.003687171,0.001517538,0.0009013743,0.0002339981,0.0007058331,0.0004192414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003060088,"about_ca_system_score_gemma":0.003052189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001829682,"about_ca_topic_score_gemma":0.000421453,"domain_scores_codex":[0.9956009,0.0003634169,0.0003719148,0.0007700017,0.001891425,0.001002381],"domain_scores_gemma":[0.9950372,0.001321473,0.00005680483,0.0001206485,0.003086601,0.0003772929],"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":[0.0000269229,0.00006098653,0.001037559,0.0004076401,0.0001115001,0.00003452183,0.02102855,0.000002673872,0.0003544133,0.8728566,0.02030651,0.08377219],"study_design_scores_gemma":[0.0001083552,0.00008859683,0.0002586015,0.0002473594,0.00002799947,0.000006764866,0.008517869,0.001782153,0.0002828811,0.6831512,0.3052218,0.0003063536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09849444,0.004166945,0.05430312,0.398896,0.001920003,0.00196878,0.00002131197,0.002202495,0.4380269],"genre_scores_gemma":[0.980492,0.002620585,0.002682344,0.00009314599,0.001145687,0.000127654,0.00001039435,0.00003116979,0.01279704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8819975,"threshold_uncertainty_score":0.9993034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1805118572688633,"score_gpt":0.4748035968186588,"score_spread":0.2942917395497955,"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."}}