{"id":"W6889099031","doi":"10.25318/3310064901-eng","title":"Current or planned tasks regarding recruitment, retention and training over the next 12 months, first quarter of 2023","year":2025,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Training (meteorology); Current (fluid); Current Population Survey","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":[0.002991207,0.001856118,0.001377839,0.003165684,0.001194312,0.001960188,0.00279016,0.001865969,0.08192963],"category_scores_gemma":[0.0183434,0.0010906,0.001761615,0.01036556,0.0003129086,0.001273953,0.00170866,0.001788489,0.06687561],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006278122,"about_ca_system_score_gemma":0.01641465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5419494,"about_ca_topic_score_gemma":0.6098492,"domain_scores_codex":[0.9971417,0.0003834265,0.0005613922,0.0004576608,0.0008096817,0.0006460974],"domain_scores_gemma":[0.9900299,0.001486947,0.001175503,0.0007856612,0.005466442,0.001055574],"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":[0.0000369033,0.00001055486,0.0007898447,0.0002744924,0.00001251427,0.000003403615,0.000008127481,0.00009327864,0.00001355792,0.0001429853,0.9975533,0.001061013],"study_design_scores_gemma":[0.000691473,0.00004518447,0.04388913,0.001034712,0.0000766108,0.000031986,0.0001833488,0.0005330619,0.0002359286,0.0007608953,0.9524537,0.00006386657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004813943,0.00002191887,0.00002869193,0.00005508449,0.00001735207,0.00002253078,0.9992262,0.00004467873,0.0005353541],"genre_scores_gemma":[0.0004830997,0.00006806956,0.0002875123,0.0001239125,0.0000129134,0.0003248182,0.9961174,0.0000493571,0.002532935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9937219,"threshold_uncertainty_score":0.9214963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05418094640280906,"score_gpt":0.3250425649010116,"score_spread":0.2708616184982026,"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."}}