{"id":"W1834631443","doi":"10.24908/pceea.v0i0.3696","title":"IMPROVING PROBLEM SOLVING AND SOLUTION DESIGN SKILLS USING PROBLEM FLOW COACHES IN CAPSTONE PROJECTS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Coaching Methods and Impact","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Acronym; TRIZ; Capstone; Context (archaeology); Computer science; Problem-based learning; Coaching; Metacognition; Management science; Mathematics education; Cognition; Artificial intelligence; Engineering; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001771921,0.0001818659,0.0002123747,0.0004703887,0.0001750318,0.00008035061,0.0001892111,0.0002011003,0.00001827022],"category_scores_gemma":[0.000901375,0.0001805864,0.00005233199,0.0004928073,0.00002263917,0.0003235852,0.00003337341,0.0003086632,0.000001842685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001824981,"about_ca_system_score_gemma":0.0006283337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06416076,"about_ca_topic_score_gemma":0.005656874,"domain_scores_codex":[0.9986705,0.00004556931,0.0003558868,0.0002793418,0.0001824088,0.0004662473],"domain_scores_gemma":[0.9989799,0.00008072672,0.0004345145,0.00009979685,0.0002402612,0.0001648635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004626381,0.0007819087,0.6765689,0.001270194,0.0003912847,0.000001063087,0.1581962,0.001846011,0.09088083,0.0120708,0.004790713,0.05315588],"study_design_scores_gemma":[0.00157476,0.0002194674,0.8906898,0.00142368,0.0003149998,0.00007296212,0.007627741,0.08112995,0.0116421,0.002939984,0.000855409,0.001509088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841542,0.0003049089,0.00532587,0.0007061411,0.001471323,0.001880077,0.00001571509,0.0001183855,0.00602343],"genre_scores_gemma":[0.8715931,0.000003874767,0.1276646,0.00005922204,0.00009070582,0.00006019613,0.000001952151,0.00003984425,0.0004864197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.214121,"threshold_uncertainty_score":0.9420711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03520622509513942,"score_gpt":0.2639704782613631,"score_spread":0.2287642531662237,"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."}}