{"id":"W7098290149","doi":"","title":"HUMAN RESOURCES AND SOCIAL DEVELOPMENT CANADA By","year":2008,"lang":"en","type":"article","venue":"","topic":"Global Educational Policies and Reforms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Principal (computer security); Work (physics); Audience measurement; Human resources; Permission; Human development (humanity)","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":[0.0009258924,0.000458827,0.000547001,0.001303235,0.00287636,0.005952426,0.0005913521,0.00145206,0.239463],"category_scores_gemma":[0.002298143,0.0003276443,0.0002626812,0.003476471,0.000750659,0.001682357,0.001540464,0.001856006,0.06555484],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02111666,"about_ca_system_score_gemma":0.04800356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5965133,"about_ca_topic_score_gemma":0.6572774,"domain_scores_codex":[0.9992175,0.00006017056,0.00003600309,0.0001247382,0.000408792,0.0001528421],"domain_scores_gemma":[0.9985115,0.0001841814,0.00004225754,0.0001636703,0.0007803951,0.0003180649],"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":[0.00001220752,0.00001077142,0.0004494535,0.00007859428,0.000002344372,0.00002475637,0.0001028403,0.00005707298,0.00005928694,0.03441764,0.911742,0.05304319],"study_design_scores_gemma":[0.000002030642,0.000001430558,0.0008696115,0.00005844291,5.559054e-7,0.000008524493,0.00005313879,0.00003106465,0.0000231756,0.0006352946,0.9983138,0.000002934679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001006314,0.01048284,0.0002552411,0.02072527,0.00380764,0.00008825163,0.0121907,0.0002768456,0.9511669],"genre_scores_gemma":[0.007908824,0.005945004,0.000444011,0.0009990284,0.0001387275,0.00005503961,0.002343302,0.0001390873,0.982027],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9788833,"threshold_uncertainty_score":0.8117257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617605946444479,"score_gpt":0.2753548946196045,"score_spread":0.2591788351551597,"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."}}