{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0114087,0.0001498244,0.0005398498,0.0003033112,0.0004361099,0.00007094799,0.0004976778,0.00004515764,0.00007192271],"category_scores_gemma":[0.001590244,0.00007534018,0.0001612405,0.0003001867,0.000125658,0.0002302448,0.0001332713,0.0004478233,0.000003703789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006707141,"about_ca_system_score_gemma":0.0004857146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001309674,"about_ca_topic_score_gemma":0.0004995021,"domain_scores_codex":[0.9936904,0.002471414,0.00137877,0.0002943071,0.001526701,0.0006383772],"domain_scores_gemma":[0.9939013,0.003718766,0.001636608,0.0004709995,0.0002135292,0.00005876494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005799457,0.001634119,0.1393642,0.00002322431,0.001446099,0.000006695792,0.01686266,0.1205605,0.2282416,0.470401,0.0001211197,0.02075879],"study_design_scores_gemma":[0.005191972,0.006554767,0.1016046,0.0005431676,0.000174123,0.0009146518,0.1547582,0.004537708,0.004234567,0.7210357,0.00003226161,0.000418244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6158785,0.0003388607,0.3831017,0.00002151761,0.00009012893,0.0005137629,0.00000227193,0.000004206209,0.00004910408],"genre_scores_gemma":[0.9996476,0.00001597945,0.0001555983,0.000002553474,0.00004688988,0.000007289374,5.464742e-8,0.00001237975,0.0001116798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3837691,"threshold_uncertainty_score":0.3954049,"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."}}