{"id":"W4210875074","doi":"10.4018/978-1-5225-3417-4.ch023","title":"Beyond Angry Birds™","year":2017,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Western University","funders":"","keywords":"Context (archaeology); Mathematics education; Selection (genetic algorithm); Pedagogy; Professional development; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001219272,0.0008148763,0.0005251507,0.0006179588,0.003830794,0.008019865,0.0008620187,0.002424814,0.03759426],"category_scores_gemma":[0.004236827,0.0003128812,0.0004943652,0.0004151454,0.006383095,0.006564878,0.00440757,0.007338528,0.02420823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337433,"about_ca_system_score_gemma":0.0009288174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063841,"about_ca_topic_score_gemma":0.00147852,"domain_scores_codex":[0.9981394,0.0005755596,0.00004567575,0.0002362788,0.0007527782,0.0002502434],"domain_scores_gemma":[0.9985098,0.0004546751,0.0001863294,0.0001775533,0.000370068,0.0003015413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007999719,0.0001133152,0.001600332,0.0003883106,0.00004061479,0.001335118,0.092481,0.0001700767,0.002097194,0.3045009,0.3903775,0.2068156],"study_design_scores_gemma":[0.000003552705,0.00002830661,0.0003138015,0.0001818682,0.000004128779,0.000881389,0.008627914,0.00005837571,0.0001847101,0.01343466,0.9762678,0.00001355234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01636208,0.0169332,0.01249813,0.05828627,0.01129758,0.0001143346,0.0001455407,0.000633113,0.8837298],"genre_scores_gemma":[0.1364315,0.008788808,0.002709253,0.03408059,0.003293463,0.0001107652,0.000127122,0.0004163398,0.8140422],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03759426,"threshold_uncertainty_score":0.1257653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009734492648162986,"score_gpt":0.2259115046413597,"score_spread":0.2161770119931967,"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."}}