{"id":"W3001172709","doi":"10.24908/pceea.vi0.13726","title":"TRANSLATING PROBLEM STATEMENTS INTO ACTIONABLE SOLUTION PROCEDURE: DEVELOPING PROBLEM-SOLVING SKILLS IN CHEMICAL ENGINEERING SECOND-YEAR STUDENTS","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"DECIPHER; Computer science; Mathematics education; Problem statement; Problem-based learning; Management science; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003926917,0.0007139423,0.0005750961,0.0008472856,0.0009845861,0.004232819,0.001547524,0.001526935,0.003671277],"category_scores_gemma":[0.0120754,0.0004378886,0.0004200327,0.0004617262,0.001472063,0.001617733,0.002913947,0.00247545,0.001233837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106279,"about_ca_system_score_gemma":0.004521464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109102,"about_ca_topic_score_gemma":0.002082682,"domain_scores_codex":[0.9984866,0.0005090862,0.0001017298,0.0003207558,0.0003494209,0.0002322208],"domain_scores_gemma":[0.9932485,0.002686551,0.000851515,0.0006769035,0.001096563,0.001439994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007935585,0.02170314,0.05374827,0.001186792,0.00007118129,0.0008632233,0.085292,0.008366803,0.1926433,0.01237159,0.007729881,0.6152303],"study_design_scores_gemma":[0.001117066,0.03133396,0.2283536,0.001921632,0.0002861134,0.004952488,0.09660667,0.07481275,0.3375758,0.07072259,0.1515842,0.0007332119],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550078,0.0001768723,0.03644546,0.0006239071,0.00005946471,0.00056887,0.00004360043,0.0003346251,0.006739492],"genre_scores_gemma":[0.8893635,0.0004032607,0.1019126,0.0004150957,0.00002057429,0.0005726919,0.0001847428,0.00006230964,0.007065277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004232819,"threshold_uncertainty_score":0.02076775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003358550417190746,"score_gpt":0.2242053083229419,"score_spread":0.2208467579057511,"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."}}