{"id":"W2227335925","doi":"","title":"Enhancing an electronic portfolio with field observations: A field assessment tool for internships","year":2005,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Reflective Practices in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Field (mathematics); Portfolio; Internship; Electronic portfolio; Computer science; Business; Medicine; Finance; Medical education; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01658228,0.0009491872,0.0006037459,0.004421398,0.001197087,0.00182705,0.001491838,0.001137184,0.004100844],"category_scores_gemma":[0.04848398,0.0005317942,0.0004565889,0.001703458,0.0003807028,0.003124119,0.003517346,0.000859531,0.001718224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006539128,"about_ca_system_score_gemma":0.001470974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003613406,"about_ca_topic_score_gemma":0.001227706,"domain_scores_codex":[0.9928132,0.00430846,0.0007873186,0.0004519708,0.001357921,0.0002811984],"domain_scores_gemma":[0.9473547,0.02629339,0.005759176,0.005434109,0.01074501,0.004413623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001170403,0.00504041,0.1168034,0.0007435987,0.00006306638,0.0006620741,0.01160466,0.00155826,0.01133865,0.0007048252,0.008738378,0.8415723],"study_design_scores_gemma":[0.001426153,0.01704472,0.6898865,0.002975602,0.0005243196,0.004864045,0.07510061,0.05029109,0.05117897,0.01196298,0.09405474,0.0006902036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8593931,0.000286666,0.1075362,0.0008944546,0.0002076018,0.007144853,0.001173981,0.002130935,0.02123225],"genre_scores_gemma":[0.7154423,0.0004909821,0.2710952,0.0002270667,0.00009028112,0.004523634,0.001051992,0.0001439353,0.006934568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01658228,"threshold_uncertainty_score":0.08769655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04918432817025137,"score_gpt":0.3908470980650142,"score_spread":0.3416627698947628,"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."}}