{"id":"W2101775626","doi":"10.5539/ass.v7n4p52","title":"Embedding Graduate Skills - High-achieving Students:Workshop Model","year":2011,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Government","keywords":"Curriculum; Medical education; Embedding; Engineering management; Computer science; Psychology; Pedagogy; Engineering; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002448116,0.0005435189,0.0003567558,0.0005838879,0.001148027,0.002688993,0.002766082,0.001921785,0.01860382],"category_scores_gemma":[0.003676418,0.0003385502,0.0006407116,0.0005294517,0.001391958,0.00230161,0.002215732,0.001213964,0.002967022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538742,"about_ca_system_score_gemma":0.002320315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002645351,"about_ca_topic_score_gemma":0.002572432,"domain_scores_codex":[0.9987996,0.0006501968,0.00002841728,0.0001570981,0.0001236346,0.0002411068],"domain_scores_gemma":[0.9978727,0.0009292763,0.0001352379,0.0002019572,0.0002608923,0.0005999155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003164469,0.01570473,0.02585948,0.0009357405,0.0001631019,0.003021467,0.01511867,0.2443968,0.01251876,0.5217876,0.009732807,0.1475963],"study_design_scores_gemma":[0.001203719,0.006523061,0.008905268,0.0002494485,0.0002095001,0.0007908776,0.01932771,0.8411799,0.005869019,0.08495125,0.03063196,0.0001583079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6460737,0.000203646,0.1776666,0.002319333,0.0002106952,0.00180688,0.0003643841,0.0003801997,0.1709746],"genre_scores_gemma":[0.9575533,0.0001785359,0.01975107,0.0001347721,0.00002011271,0.001107213,0.0001251305,0.00002676441,0.02110306],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01860382,"threshold_uncertainty_score":0.06223601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08315027082698015,"score_gpt":0.4108100703416316,"score_spread":0.3276597995146515,"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."}}