{"id":"W2767163554","doi":"10.28945/2478","title":"An Instructional Model for Teaching Troubleshooting Skills","year":2002,"lang":"en","type":"article","venue":"Informing Science and IT Education Conference","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"Division of Human Resource Development; British Columbia Institute of Technology","keywords":"Troubleshooting; Summative assessment; Computer science; Multimedia; Mathematics education; Formative assessment; Psychology; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000292495,0.00009938937,0.00007189735,0.0001599903,0.0003255942,0.0001901694,0.0001937416,0.00003235788,0.00001926345],"category_scores_gemma":[0.0001367691,0.0001072529,0.00001232555,0.0001295552,0.0001232794,0.001631706,0.00001592569,0.000130783,0.000004823818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000105568,"about_ca_system_score_gemma":0.0001194161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005317593,"about_ca_topic_score_gemma":0.000001583551,"domain_scores_codex":[0.9992613,0.000002501479,0.0001624329,0.0001562732,0.0001924018,0.0002250651],"domain_scores_gemma":[0.9995895,0.00002638782,0.00002833305,0.0001246247,0.000124165,0.0001070032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001943372,0.00007491484,0.0006057977,0.00008739814,0.00000671497,8.225217e-8,0.02198901,0.3137437,0.06312342,0.05785146,0.0007151754,0.5418003],"study_design_scores_gemma":[0.00007573485,0.00001995271,0.000158218,0.00004296198,0.000002004905,0.00001114202,0.001345231,0.993475,0.001894325,0.0001536711,0.002678446,0.0001433058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8834374,0.00004783829,0.09819905,0.0001445033,0.0006469382,0.0001792547,0.000002861962,0.0002338558,0.01710832],"genre_scores_gemma":[0.9422796,0.00001085628,0.05720923,0.0001224199,0.00007825629,0.00003939003,0.000003184407,0.00001006403,0.0002470004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6797312,"threshold_uncertainty_score":0.4373648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638729757708183,"score_gpt":0.2778127470448061,"score_spread":0.2614254494677242,"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."}}