{"id":"W7024724854","doi":"","title":"Socioeconomic patterning of self-rated health trajectories in Canada: A mixture latent Markov model","year":2012,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Electronic and Structural Properties of Oxides","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Markov model; Markov chain; Confounding; Trajectory; Panel Study of Income Dynamics; Latent variable; Mixture model; Population","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007994707,0.0006675514,0.00113218,0.0001768218,0.0004930173,0.0000422999,0.0006740224,0.0004353564,0.0003740351],"category_scores_gemma":[0.00007532454,0.0006218462,0.0001730996,0.0001477805,0.00004210697,0.0006294519,0.00008205017,0.001156044,0.00002798578],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004996876,"about_ca_system_score_gemma":0.001756779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5490742,"about_ca_topic_score_gemma":0.8790922,"domain_scores_codex":[0.9959368,0.000331236,0.001265637,0.0007642073,0.0005290356,0.001173098],"domain_scores_gemma":[0.998012,0.00008213994,0.0009906046,0.000445714,0.0001924139,0.0002771132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001027913,0.0002483524,0.00341848,0.003891969,0.0003973289,0.00003931601,0.0004369376,0.0025618,0.9231749,0.006636226,0.0000699994,0.05809675],"study_design_scores_gemma":[0.003527972,0.0006248713,0.08451179,0.002119982,0.0003871718,0.00005560321,0.002521288,0.002541414,0.8895633,0.007483982,0.001842765,0.0048199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994282,0.001801384,8.394161e-8,0.00003535167,0.001055054,0.0005134544,0.0008525634,0.00009376425,0.00136632],"genre_scores_gemma":[0.9975058,0.0002515838,0.0005381442,0.0001926607,0.00003099181,0.00005794112,0.000412212,0.0001142944,0.0008963946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3300179,"threshold_uncertainty_score":0.9996233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209016696509866,"score_gpt":0.2181149404426911,"score_spread":0.2060247734775924,"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."}}