{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001930889,0.0004970403,0.000773588,0.004684365,0.01028541,0.006900864,0.002400195,0.0007943045,0.007169974],"category_scores_gemma":[0.007363232,0.0004205399,0.000878735,0.01589354,0.005027269,0.003051525,0.004754404,0.00243917,0.0003806562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09680521,"about_ca_system_score_gemma":0.1784524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99829,"about_ca_topic_score_gemma":0.9985682,"domain_scores_codex":[0.9966538,0.0005106081,0.0001144198,0.0003152381,0.001006953,0.001398987],"domain_scores_gemma":[0.9937723,0.000850732,0.0007806998,0.0002266482,0.00265119,0.00171842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000961414,0.00009474415,0.603083,0.001398176,0.0002618974,0.001492067,0.03816776,0.002531631,0.0002680887,0.1284305,0.09522948,0.1289466],"study_design_scores_gemma":[0.00001750525,0.00005338538,0.7060016,0.002962673,0.0001744461,0.0005017367,0.0922032,0.002178099,0.0001572898,0.01664377,0.1789162,0.000190027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4599682,0.06568749,0.006413177,0.2342647,0.001590052,0.000538976,0.05102045,0.0002304322,0.1802866],"genre_scores_gemma":[0.9392074,0.04060346,0.002980894,0.005912898,0.0002608989,0.0001074247,0.004539791,0.00005666384,0.00633052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09680521,"threshold_uncertainty_score":0.7023742,"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."}}