{"id":"W4383724402","doi":"10.21125/edulearn.2023.0081","title":"IMPROVING ON DESIGN THINKING TO HELP SOLVE ENVIRONMENTAL PROBLEMS","year":2023,"lang":"en","type":"article","venue":"EDULEARN proceedings","topic":"Design Education and Practice","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Engineering management; Engineering; Library science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005390908,0.001155778,0.0004643947,0.002203269,0.004777652,0.008046379,0.001737999,0.002136805,0.04814949],"category_scores_gemma":[0.01059817,0.0005885956,0.0008239371,0.001343749,0.002794415,0.00233014,0.004534273,0.003011861,0.006731526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0161483,"about_ca_system_score_gemma":0.05353522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1183692,"about_ca_topic_score_gemma":0.4061324,"domain_scores_codex":[0.9935702,0.001917409,0.0002130891,0.0005104605,0.003071477,0.0007174261],"domain_scores_gemma":[0.9883025,0.003078142,0.0006342099,0.001155071,0.004460622,0.002369509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009200603,0.001321942,0.0127288,0.0009932672,0.0000471434,0.0003820686,0.01619085,0.002645191,0.007693083,0.04813263,0.1689607,0.7408124],"study_design_scores_gemma":[0.0000593335,0.0001671461,0.01154492,0.001267212,0.00005590028,0.0002309993,0.01194873,0.001351574,0.004412514,0.02852862,0.940379,0.00005397799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1078223,0.009554598,0.08621868,0.08865133,0.00285497,0.0005705093,0.0003374775,0.002792053,0.7011981],"genre_scores_gemma":[0.3090761,0.008536355,0.2026728,0.009493415,0.0002993508,0.0002995074,0.0005535447,0.0006880981,0.4683809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1183692,"threshold_uncertainty_score":0.2353603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219594911428452,"score_gpt":0.2259380441207773,"score_spread":0.2039785529779321,"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."}}