{"id":"W3171215664","doi":"","title":"Enhancing Children’s Understanding of Complex Systems: A Study of the Design Considerations of an Effective Learning Environment","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Affordance; Complex system; Management science; Systems thinking; Social system; Computer science; Engineering ethics; Engineering; Artificial intelligence; Human–computer interaction","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":[0.005575741,0.0006899261,0.0006431374,0.0012411,0.00172795,0.006446639,0.001374227,0.001793678,0.00379965],"category_scores_gemma":[0.01631885,0.0007569942,0.000813002,0.0009818283,0.006025335,0.006081297,0.002893625,0.003029721,0.0005122345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002461967,"about_ca_system_score_gemma":0.002083303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003495047,"about_ca_topic_score_gemma":0.004179867,"domain_scores_codex":[0.9962642,0.001916591,0.0002072315,0.0004433538,0.0006735485,0.0004951552],"domain_scores_gemma":[0.9912745,0.00654886,0.0008572626,0.0003581472,0.0004345285,0.000526677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002705746,0.002938865,0.09216404,0.002190582,0.000114781,0.003786223,0.6491642,0.005478848,0.01208857,0.1505953,0.003964297,0.07724381],"study_design_scores_gemma":[0.0003989784,0.002431076,0.1402835,0.002269587,0.0003555574,0.003606918,0.5403736,0.009875158,0.01486713,0.09341621,0.1918005,0.0003218129],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705688,0.0006829516,0.005144076,0.001654848,0.00001633414,0.0001162048,0.00006027766,0.00002642314,0.02173012],"genre_scores_gemma":[0.9848971,0.001120874,0.01085654,0.0002090247,0.000006725191,0.00021197,0.00005019866,0.00002401695,0.002623677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006446639,"threshold_uncertainty_score":0.02948773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126003024406901,"score_gpt":0.3406845883952464,"score_spread":0.2280842859545563,"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."}}