{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007077725,0.0001004458,0.0002202901,0.0000184814,0.003657388,0.0003742969,0.0002350139,0.00004765397,0.00001019848],"category_scores_gemma":[0.00227213,0.00008219481,0.00001404862,0.00002845886,0.0007152231,0.001266485,0.0003531413,0.00009685753,0.000007040881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001314534,"about_ca_system_score_gemma":0.0002057542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00491247,"about_ca_topic_score_gemma":0.004790199,"domain_scores_codex":[0.999125,0.00004021126,0.0001995703,0.0001693527,0.0001889576,0.0002769197],"domain_scores_gemma":[0.9990095,0.0002726573,0.0001724374,0.0002498903,0.0001283315,0.0001671234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003796068,0.00003303352,0.8289742,0.0004631949,0.0002269846,0.00001350903,0.03243916,5.459362e-7,1.660951e-7,0.06832389,0.0378465,0.03164079],"study_design_scores_gemma":[0.0002143823,0.00003508213,0.7834815,0.0001544058,0.00004918754,9.265626e-7,0.09778766,0.00003607934,2.43648e-7,0.000607717,0.1175054,0.0001273462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8008093,0.04610954,0.00006385172,0.05848638,0.001529763,0.0006181525,0.0003366427,0.0001171293,0.09192922],"genre_scores_gemma":[0.9837419,0.01393794,0.0002732242,0.0008415664,0.0004007558,0.00001095127,0.000009980389,0.000003013459,0.0007806415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1829326,"threshold_uncertainty_score":0.9976397,"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."}}