{"id":"W7155600677","doi":"10.5281/zenodo.19766201","title":"Making Learning Visible - The Neuroscience of Learning","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cascades (Canada)","funders":"","keywords":"Experiential learning; Cognition; Developmental cognitive neuroscience; Cultural neuroscience; Learning sciences; Cognitive neuroscience; Learning theory; Educational neuroscience; Cognitive development","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008026635,0.0001134253,0.00009609432,0.0002109752,0.00355704,0.0004314965,0.0009864094,0.0000287118,0.00284877],"category_scores_gemma":[0.007530235,0.00007736785,0.00004950852,0.001126213,0.0005756607,0.0004378901,0.0006345861,0.0002849732,0.001654169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005432167,"about_ca_system_score_gemma":0.000008044405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001746999,"about_ca_topic_score_gemma":4.156179e-8,"domain_scores_codex":[0.9975712,0.000817197,0.0002271617,0.0005117405,0.0005193854,0.0003532732],"domain_scores_gemma":[0.9989715,0.0001734103,0.0002010476,0.0002773127,0.0002898086,0.00008691219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003484909,0.0000698091,0.00004902205,0.00001124129,0.000001085544,0.00000301938,0.0005561433,0.0001063888,0.8671612,0.008877643,0.004330681,0.118799],"study_design_scores_gemma":[0.0002411626,0.0002968714,0.001637321,0.00003941272,0.00000470904,0.00009562103,0.0003543528,0.0005042379,0.06874488,0.0001946301,0.9277653,0.0001215748],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5066056,0.00004326104,0.06855784,0.01377918,0.001633586,0.00127846,0.00006749059,0.002426411,0.4056082],"genre_scores_gemma":[0.9953483,0.00006239479,0.00001175506,0.0005979504,0.00007079739,7.314269e-8,0.000005677228,0.0003017883,0.003601228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9234346,"threshold_uncertainty_score":0.9991232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08556727011064758,"score_gpt":0.2983863234020336,"score_spread":0.2128190532913861,"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."}}