{"id":"W2135211074","doi":"10.3968/j.css.1923669720100604.014","title":"A Delphi Study on Brain-based Instructional Model in Science UNE ÉTUDE DELPHI SUR LE MODÈLE DE NEURO-PÉDAGOGIE EN SCIENCES","year":2010,"lang":"fr","type":"article","venue":"Canadian social science","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Delphi method; Delphi; Psychology; Mathematics education; Science learning; Process (computing); Science education; Learning sciences; Computer science; Experiential learning; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.005568979,0.0004541611,0.0003221159,0.002477932,0.006494672,0.001241067,0.00309408,0.0001884447,0.00007225171],"category_scores_gemma":[0.01139996,0.0005254666,0.0001108425,0.01606356,0.01778276,0.002357727,0.000197334,0.001274531,0.00007453541],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903572,"about_ca_system_score_gemma":0.05030518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02977098,"about_ca_topic_score_gemma":0.1091235,"domain_scores_codex":[0.9916764,0.000413301,0.0005540847,0.002358053,0.002517397,0.002480772],"domain_scores_gemma":[0.9962004,0.0009059308,0.0002450767,0.0005013781,0.0005764805,0.001570667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006685413,0.002135113,0.03334561,0.0000208843,0.000002427371,0.0001622028,0.01547482,0.009719989,0.7132302,0.2074205,0.0009700581,0.01745134],"study_design_scores_gemma":[0.003210186,0.001494665,0.4311359,0.0001020233,0.00003483021,0.0001531511,0.02401355,0.4744236,0.04832399,0.005934513,0.008948523,0.00222507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414838,0.000008425081,0.000376221,0.03633619,0.00532783,0.000849264,0.0000806697,0.00006779224,0.0154698],"genre_scores_gemma":[0.982142,0.000003160578,0.0003676586,0.01642499,0.0003612669,0.00008861146,0.000001062738,0.00003021943,0.0005810471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6649062,"threshold_uncertainty_score":0.9997957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08908283887000856,"score_gpt":0.3319676066790831,"score_spread":0.2428847678090746,"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."}}