{"id":"W3109248592","doi":"10.1108/heswbl-05-2020-0091","title":"Indexes of employability assets: a comprehensive tool for analyzing students' attitudes in Indigenous contexts","year":2020,"lang":"en","type":"article","venue":"Higher Education Skills and Work-based Learning","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University College of the North","funders":"","keywords":"Employability; Indigenous; Numeracy; Curriculum; Psychology; Consistency (knowledge bases); Mathematics education; Pedagogy; Medical education; Literacy; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002208729,0.000386596,0.0003842369,0.003351318,0.0007073366,0.001545432,0.0003505201,0.0004232643,0.003407122],"category_scores_gemma":[0.008042179,0.0001842819,0.0007428979,0.002158897,0.0004903133,0.001092218,0.001368628,0.0008610828,0.0004412456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004421896,"about_ca_system_score_gemma":0.0008630679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002771354,"about_ca_topic_score_gemma":0.005665482,"domain_scores_codex":[0.9989253,0.0002530267,0.0001772587,0.00007629571,0.0004319797,0.0001360581],"domain_scores_gemma":[0.9941619,0.00199823,0.00188499,0.0004308963,0.0008849749,0.0006390374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004599537,0.0002684185,0.963063,0.00008949166,0.00006172514,0.0000577111,0.003564463,0.0001720674,0.0006487028,0.0002671027,0.0002723713,0.03148898],"study_design_scores_gemma":[0.000002337213,0.0001812391,0.9921428,0.00004153277,0.00002644504,0.00005135915,0.005344333,0.0004814959,0.0003792673,0.0003401895,0.0009947736,0.00001415942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941339,0.0001113415,0.001159996,0.00008118976,0.0000102598,0.0001185969,0.0003885015,0.00001915971,0.00397706],"genre_scores_gemma":[0.9964153,0.0001312026,0.002119429,0.00002138286,0.00001181374,0.0002348608,0.0002879812,0.000004766445,0.0007734256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003407122,"threshold_uncertainty_score":0.01168102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553458907558931,"score_gpt":0.3677598702473945,"score_spread":0.3422252811718052,"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."}}