{"id":"W2760143165","doi":"10.36510/learnland.v2i2.302","title":"Listening to Children—Learning From Children","year":2009,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Active listening; Intuition; Mathematics education; Psychology; Class (philosophy); Pedagogy; Computer science; Cognitive science; Communication; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000709049,0.0001325797,0.0001810638,0.0001298374,0.0009152442,0.0002425736,0.000312261,0.00009926281,0.0005282295],"category_scores_gemma":[0.001083155,0.000129099,0.0000697201,0.0002439508,0.00002172351,0.0001144784,0.00003479275,0.0004844559,0.000161929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003925369,"about_ca_system_score_gemma":0.00004808667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001399446,"about_ca_topic_score_gemma":0.0001250067,"domain_scores_codex":[0.9986008,0.0003049083,0.0001891224,0.0002686415,0.0003155066,0.000320972],"domain_scores_gemma":[0.9993541,0.0001640408,0.0001126204,0.0001471386,0.00004626683,0.0001758101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001877211,0.0001744812,0.7234992,0.000003653754,0.00006429409,0.000002203792,0.1268694,0.0008385384,0.0004204686,0.0400638,0.006925289,0.1011199],"study_design_scores_gemma":[0.0006276302,0.0004218817,0.8118632,0.0003349514,0.00008356633,0.000008151531,0.004961124,0.0007185153,0.0005433776,0.02333135,0.1558724,0.001233883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305763,0.0001010866,0.008279759,0.002437989,0.000093376,0.0002525098,0.000001168191,0.001242431,0.05701537],"genre_scores_gemma":[0.987048,0.00003000251,0.009339551,0.0003802423,0.0005257213,0.000007571507,0.00004215452,0.00001602141,0.002610783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1489471,"threshold_uncertainty_score":0.7039411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245004069259006,"score_gpt":0.2990533905056982,"score_spread":0.2866033498131081,"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."}}