{"id":"W2480670147","doi":"","title":"Literacy and Complexity: On Using Technology within Emergent Learning Structures with Young Learners.","year":2016,"lang":"en","type":"article","venue":"Complicity An International Journal of Complexity and Education","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Literacy; Mathematics education; Psychology; Computer science; Sociology; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001696981,0.0001793271,0.0001584136,0.0006559948,0.001194215,0.006004355,0.0004318692,0.0008191461,0.003024776],"category_scores_gemma":[0.01381015,0.0001392429,0.0001647189,0.0003755216,0.003439823,0.004485931,0.00428402,0.001438215,0.0003330022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008990394,"about_ca_system_score_gemma":0.001445715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001870653,"about_ca_topic_score_gemma":0.002493524,"domain_scores_codex":[0.9984984,0.000870061,0.00004874401,0.0001253229,0.0002794158,0.0001780489],"domain_scores_gemma":[0.9933154,0.005131707,0.0004499796,0.0002470178,0.000359333,0.0004965832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007796163,0.0002554721,0.07820374,0.0001650553,0.00001410257,0.002339224,0.7547444,0.0001914907,0.002363939,0.04292952,0.00220417,0.116511],"study_design_scores_gemma":[0.00003636219,0.0004518081,0.08558271,0.000752072,0.00006135818,0.005037413,0.7519269,0.001830583,0.005196948,0.06075654,0.08828091,0.00008636641],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458309,0.000683116,0.003561495,0.002718553,0.00002783319,0.00004634551,0.00001793813,0.00002570489,0.0470881],"genre_scores_gemma":[0.9960722,0.0003059049,0.0008091762,0.0001832072,0.000007256166,0.00002020419,0.000009834965,0.000008752682,0.002583589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006004355,"threshold_uncertainty_score":0.0101189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07563387456367092,"score_gpt":0.3991906005557037,"score_spread":0.3235567259920328,"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."}}