{"id":"W7071116768","doi":"","title":"Seeking employment in the Québec public service : activity sheets for secondary school students /","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public service; Service (business); Public sector; Work (physics); Public policy","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":[0.00170415,0.0007516068,0.0003969292,0.005701278,0.002170086,0.001778449,0.00157096,0.00105978,0.09174772],"category_scores_gemma":[0.006288016,0.0005894661,0.0005972987,0.005911186,0.0003505928,0.000846327,0.001003022,0.0009836864,0.02326775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01748849,"about_ca_system_score_gemma":0.04209321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9669823,"about_ca_topic_score_gemma":0.9861127,"domain_scores_codex":[0.9991218,0.00005516516,0.00007822073,0.00005624419,0.0004311707,0.0002573162],"domain_scores_gemma":[0.9896395,0.0005310488,0.0006388339,0.0002821835,0.006743987,0.002164388],"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":[0.0001131207,0.0001504167,0.04288775,0.0002143162,0.00001725335,0.00004234227,0.0003313424,0.0001797888,0.0001389376,0.0002911862,0.9089543,0.04667928],"study_design_scores_gemma":[0.00008710914,0.00005033396,0.6446887,0.0002704326,0.00002138936,0.00003803061,0.001082768,0.000485258,0.0003783452,0.00009065118,0.3527539,0.00005291545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.05140401,0.001148834,0.0007995037,0.006773048,0.0004830118,0.002078217,0.7791715,0.001721919,0.15642],"genre_scores_gemma":[0.1218724,0.00195111,0.00439477,0.001898557,0.0002211221,0.002218269,0.3128596,0.0004822877,0.5541018],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9669823,"threshold_uncertainty_score":0.3069267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281017445602358,"score_gpt":0.2592181211180711,"score_spread":0.2464079466620475,"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."}}