{"id":"W7070335116","doi":"","title":"One-Person Households in Canada and the Implications for Health: A Health Geography Perspective","year":2023,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Census; Public health; Socioeconomic status; Marital status; Population; Context (archaeology); Population health; Life course approach; Perspective (graphical)","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":[0.00009966082,0.0002101808,0.0003139171,0.0001597219,0.0003015948,0.00003556147,0.0003128729,0.0001572392,0.000003676316],"category_scores_gemma":[0.00005170269,0.0002167441,0.0001095011,0.0003142437,0.00006738681,0.00001856858,0.00007016792,0.0002985656,7.049775e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002256123,"about_ca_system_score_gemma":0.002735248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9085565,"about_ca_topic_score_gemma":0.8336889,"domain_scores_codex":[0.9988956,0.0001417121,0.0001679937,0.0003531008,0.0001104,0.0003311788],"domain_scores_gemma":[0.9990855,0.00008011587,0.0003150473,0.0003365872,0.00004939892,0.0001332806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002348708,0.0001387306,0.1013402,0.001930964,0.0007929393,0.000005391875,0.01383728,0.0004366766,0.00001260604,0.01993993,0.855078,0.004138595],"study_design_scores_gemma":[0.003758237,0.000581357,0.8079538,0.0003168865,0.0000829471,8.493546e-7,0.05405091,0.00007905994,0.0001206605,0.000537337,0.1315944,0.0009235672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3243425,0.0009945781,0.000364675,0.6628278,0.0004802058,0.003984073,0.001595784,0.0001913766,0.005218932],"genre_scores_gemma":[0.8361248,0.01685824,0.007952637,0.009434703,0.0004014362,0.0000987233,0.01973604,0.000389571,0.1090038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7234836,"threshold_uncertainty_score":0.8838567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007992884518654837,"score_gpt":0.2286437924617479,"score_spread":0.2206509079430931,"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."}}