{"id":"W7098682949","doi":"","title":"Thoughts from a user of results of Statistics Canada’s LifePaths Microsimulation Model","year":2012,"lang":"en","type":"article","venue":"","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Microsimulation; Work (physics); Categorical variable; Data collection; Statistical model","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":[0.01357677,0.001738268,0.001126323,0.003629572,0.002221894,0.006760594,0.004033811,0.002128508,0.1005766],"category_scores_gemma":[0.0769384,0.0009938206,0.001674189,0.003341724,0.00223641,0.008648003,0.002303723,0.005330784,0.02089355],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009439972,"about_ca_system_score_gemma":0.01571767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4414154,"about_ca_topic_score_gemma":0.4133441,"domain_scores_codex":[0.9921474,0.001968439,0.0003468076,0.0005726721,0.004416921,0.0005477786],"domain_scores_gemma":[0.9444051,0.02461714,0.00065479,0.004542745,0.02253249,0.003247767],"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":[0.00009769225,0.00005354513,0.001310819,0.00006795095,0.0000367791,0.0001643885,0.0005188622,0.004090062,0.0002733039,0.06816719,0.901325,0.02389439],"study_design_scores_gemma":[0.0001364951,0.00003892818,0.0009738642,0.0003429377,0.00006686788,0.0002192739,0.0008040754,0.03918411,0.001714887,0.1104736,0.8458249,0.0002200696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.008776785,0.003788227,0.4154375,0.3366078,0.01078488,0.0001701121,0.02297221,0.03969496,0.1617676],"genre_scores_gemma":[0.1659991,0.006601832,0.4877119,0.05253156,0.006413765,0.000467487,0.01608626,0.05132781,0.2128603],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9905601,"threshold_uncertainty_score":0.8776921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007950789284235637,"score_gpt":0.2166410799142829,"score_spread":0.2086902906300472,"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."}}