{"id":"W2739026600","doi":"10.14301/llcs.v8i3.406","title":"Linkable administrative files: Family information and existing data","year":2017,"lang":"en","type":"article","venue":"Longitudinal and Life Course Studies","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Institute for Advanced Research","keywords":"Computer science; Database; Sociology; Data science; Psychology","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":[0.02560211,0.0008962025,0.001256585,0.01512546,0.003319631,0.004264003,0.00465177,0.001938616,0.1940635],"category_scores_gemma":[0.1497455,0.001218912,0.0008678805,0.02882903,0.0008867203,0.007844717,0.0046812,0.001864981,0.04792339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004753208,"about_ca_system_score_gemma":0.01164395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04295997,"about_ca_topic_score_gemma":0.0339524,"domain_scores_codex":[0.9857671,0.005760027,0.003039254,0.001275886,0.003256706,0.0009010034],"domain_scores_gemma":[0.8417957,0.07092988,0.01537175,0.03865132,0.02811612,0.005135185],"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":[0.0002484213,0.0001438127,0.01402324,0.0006296221,0.00004375252,0.0001483605,0.001217509,0.0004695001,0.0001448413,0.01238676,0.8711857,0.09935854],"study_design_scores_gemma":[0.0001337381,0.00005529825,0.02879182,0.0009659461,0.00003630035,0.0002026315,0.001742207,0.001008473,0.0006059136,0.01018529,0.9561592,0.0001131842],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.005750013,0.0004979668,0.02027882,0.005118971,0.0006717147,0.00183579,0.8936027,0.004475401,0.06776861],"genre_scores_gemma":[0.06084945,0.001589084,0.08185095,0.00233529,0.0007765057,0.01018833,0.8041865,0.003103337,0.0351207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1940635,"threshold_uncertainty_score":0.6492072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3484098871503927,"score_gpt":0.4809937169575046,"score_spread":0.1325838298071119,"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."}}