{"id":"W7134772770","doi":"","title":"Career Guidance Experience in Canada","year":2022,"lang":"ru","type":"article","venue":"Electronic scientific archive of UrFU (Ural Federal University)","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocational education; Career counseling; Career development; Work (physics); Professional development","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":[0.001617504,0.00029039,0.0005327348,0.00139021,0.03502015,0.004642985,0.001533202,0.002012662,0.01203164],"category_scores_gemma":[0.004902601,0.0003616431,0.0004236822,0.004580426,0.003651883,0.000986293,0.003674556,0.003639263,0.001083056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0874325,"about_ca_system_score_gemma":0.2297257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910728,"about_ca_topic_score_gemma":0.9975106,"domain_scores_codex":[0.9951112,0.0004672247,0.00008009846,0.0002510949,0.001478505,0.002611907],"domain_scores_gemma":[0.9894354,0.0004212419,0.0002958718,0.00005471241,0.003265639,0.006527026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002550522,0.0004852843,0.1144707,0.0005631362,0.00005291292,0.005978132,0.419193,0.0007498786,0.001492913,0.03908224,0.266153,0.1515237],"study_design_scores_gemma":[0.00002505095,0.0001666849,0.0850299,0.0005627613,0.00001971484,0.001289171,0.2946327,0.0003478612,0.0002730795,0.0007871379,0.6167347,0.000131132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7653942,0.01040259,0.0004575809,0.05635888,0.001355376,0.0001434691,0.001450221,0.0001197826,0.164318],"genre_scores_gemma":[0.9196843,0.005802444,0.0004319598,0.007180693,0.00007095418,0.00004748357,0.0004713835,0.00006996474,0.06624077],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0874325,"threshold_uncertainty_score":0.6343701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078396683014128,"score_gpt":0.2089099579082597,"score_spread":0.1881259910781184,"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."}}