{"id":"W3132412780","doi":"10.51964/hlcs9299","title":"An Overview of the BALSAC Population Database. Past Developments, Current State and Future Prospects","year":2020,"lang":"en","type":"article","venue":"Historical Life Course Studies","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Université de Montréal; Université du Québec à Chicoutimi; McGill University; Université Laval","keywords":"Population; Database; Genealogy; Geography; Record linkage; Period (music); State (computer science); Data science; Political science; History; Sociology; Demography; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01028234,0.001006988,0.001609894,0.02434957,0.001995187,0.0076263,0.003792255,0.001317964,0.02141244],"category_scores_gemma":[0.01949527,0.0006752757,0.0007050762,0.04457104,0.0009348597,0.005153427,0.00298218,0.002223312,0.01513021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01183922,"about_ca_system_score_gemma":0.02647636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4621895,"about_ca_topic_score_gemma":0.352185,"domain_scores_codex":[0.9941661,0.001002925,0.0009794774,0.0009370537,0.002580578,0.0003338451],"domain_scores_gemma":[0.9759102,0.003340276,0.001196668,0.00278198,0.01464843,0.002122416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001955681,0.00006234206,0.01127435,0.001818627,0.0000916529,0.0001250409,0.0003040607,0.001152268,0.0004889546,0.009319513,0.6096277,0.3655399],"study_design_scores_gemma":[0.0000164856,0.00001119141,0.008654698,0.0007781847,0.00002127328,0.0001387735,0.000116,0.000835124,0.0001886254,0.001080936,0.9881102,0.00004850106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.008777935,0.1098656,0.03890895,0.01539184,0.002228617,0.001694223,0.7372833,0.01357302,0.0722765],"genre_scores_gemma":[0.01974468,0.05635672,0.09891904,0.003226996,0.0009837024,0.001557011,0.7966453,0.001938124,0.02062849],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4621895,"threshold_uncertainty_score":0.9189985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185926835119926,"score_gpt":0.3820818332840979,"score_spread":0.2634891497721053,"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."}}