{"id":"W2746662897","doi":"10.22318/icls2016.169","title":"Building on Cultural Capacity for Innovation Through International Collaboration: In Memory of Naomi Miyake","year":2016,"lang":"en","type":"article","venue":"International Conference of Learning Sciences","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Sociology","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":[0.006350733,0.0004785695,0.0005391624,0.0006245361,0.00340345,0.007980784,0.001049058,0.002379743,0.003955834],"category_scores_gemma":[0.0124177,0.0002286911,0.0002796217,0.001152452,0.009597756,0.01840847,0.007158277,0.006882963,0.0006894581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002247003,"about_ca_system_score_gemma":0.004056676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00462132,"about_ca_topic_score_gemma":0.007439301,"domain_scores_codex":[0.9981321,0.0008708497,0.00006918435,0.0002860491,0.0003622473,0.000279783],"domain_scores_gemma":[0.9889956,0.00618027,0.0006827026,0.0007155095,0.001743945,0.001681928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002293985,0.0001874086,0.003094244,0.0007591718,0.00008442203,0.0003527451,0.05402845,0.0010999,0.0008291269,0.4347486,0.3882428,0.1163437],"study_design_scores_gemma":[0.00003318497,0.00005151267,0.003608387,0.001148187,0.00005756224,0.0001862143,0.04228599,0.0006985677,0.001033422,0.2786674,0.672132,0.00009757653],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02081865,0.04129012,0.002821964,0.8656567,0.01042239,0.00001409613,0.00005318446,0.00002833809,0.05889449],"genre_scores_gemma":[0.8078023,0.07674103,0.004014901,0.06732378,0.009366108,0.0001033888,0.00006549977,0.0001500762,0.03443288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007980784,"threshold_uncertainty_score":0.03358626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1004279878991178,"score_gpt":0.3220927857852566,"score_spread":0.2216647978861388,"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."}}