{"id":"W1923958672","doi":"10.24908/pceea.v0i0.4025","title":"FAMILIARIZATION: FOSTERING CREATIVE PROBLEM SOLVING IN ENGINEERING DESIGN EDUCATION","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Creative problem-solving; Creative thinking; Component (thermodynamics); Mathematics education; Engineering education; Computer science; Engineering; Engineering ethics; Engineering management; Psychology; Creativity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006909276,0.0002579305,0.0002221873,0.0006892777,0.0001121331,0.0001202946,0.0003700085,0.0002132083,0.00008581629],"category_scores_gemma":[0.0009191366,0.0002916993,0.00007078819,0.001112069,0.00001218386,0.0007993846,0.00003112562,0.0003843451,0.00001921196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002815891,"about_ca_system_score_gemma":0.00107985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004393731,"about_ca_topic_score_gemma":0.001375969,"domain_scores_codex":[0.9985384,0.00001672017,0.0004940116,0.0002400314,0.0002811851,0.0004296544],"domain_scores_gemma":[0.9987833,0.00008893701,0.0002538998,0.0001485989,0.000499599,0.0002256527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007130374,0.001776737,0.2472911,0.007168754,0.001212838,0.000001831588,0.1320502,0.2112878,0.09847724,0.09795679,0.1460741,0.05663122],"study_design_scores_gemma":[0.001272007,0.0001249482,0.7229363,0.003243797,0.0003641345,0.00005446538,0.008520883,0.125344,0.06880212,0.00329072,0.06279106,0.00325552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4754316,0.002700214,0.02339001,0.005142542,0.02870612,0.009060759,0.00007462232,0.002686222,0.4528079],"genre_scores_gemma":[0.9800226,0.00004086551,0.0179823,0.0001324116,0.0001749713,0.0002215703,0.000008909668,0.00008386229,0.001332487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.504591,"threshold_uncertainty_score":0.9999535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928371277155803,"score_gpt":0.2054779154222599,"score_spread":0.1861942026507019,"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."}}