{"id":"W2891548506","doi":"10.24046/neuroed.20180502.109","title":"Proportional reasoning: Reducing the interference of natural numbers through an intervention based on the problem-solving framework of executive functions","year":2018,"lang":"en","type":"article","venue":"Neuroeducation","topic":"Educational and Psychological Assessments","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Israel Science Foundation","keywords":"Proportional reasoning; Natural (archaeology); Intervention (counseling); Interference (communication); Mathematics; Computer science; Mathematical optimization; Psychology; Mathematics education; Geography","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":[0.002109225,0.001739725,0.0009943547,0.001227475,0.0005501115,0.001356443,0.002034242,0.0009517133,0.004462898],"category_scores_gemma":[0.008758949,0.0004289808,0.000876212,0.0004450748,0.001171557,0.001596015,0.001903198,0.002494902,0.00064529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005270306,"about_ca_system_score_gemma":0.00181693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006745035,"about_ca_topic_score_gemma":0.000846325,"domain_scores_codex":[0.998005,0.0005959126,0.0001407948,0.000556774,0.0005129509,0.0001885461],"domain_scores_gemma":[0.9966606,0.00168878,0.0005923978,0.0004341592,0.0002265335,0.0003975191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.003307933,0.07479018,0.01157942,0.002120045,0.0002247211,0.00128356,0.01222216,0.005634082,0.1568324,0.01322102,0.007566812,0.7112177],"study_design_scores_gemma":[0.02115039,0.09190643,0.2025651,0.002223656,0.002049556,0.005985706,0.01132854,0.1386294,0.2518659,0.1501653,0.1210672,0.001062685],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835383,0.0004427252,0.1019197,0.000936005,0.0001846617,0.001999295,0.0001065781,0.001737762,0.009135024],"genre_scores_gemma":[0.7037542,0.0005501509,0.2837144,0.0007425866,0.00009969943,0.003311499,0.0002102509,0.0001395195,0.007477633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004462898,"threshold_uncertainty_score":0.01492989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05249417795482083,"score_gpt":0.3935677265064953,"score_spread":0.3410735485516745,"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."}}