{"id":"W4399749589","doi":"10.1564/tme_v26.2.05","title":"Designing Tasks Supported by GeoGebra Automated Reasoning Tools for the Development of Mathematical Skills","year":2019,"lang":"en","type":"article","venue":"International Journal for Technology in Mathematics Education","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Human–computer interaction; Development (topology); Mathematics education; Psychology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.003057473,0.0001385354,0.000243329,0.0004755599,0.0003121155,0.0001756299,0.0009207594,0.0002061244,0.0001442742],"category_scores_gemma":[0.004247615,0.0001140328,0.00009381725,0.0002347919,0.0001261704,0.0002452344,0.00004531685,0.0002422685,0.00001219131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003291024,"about_ca_system_score_gemma":0.0009113146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006813835,"about_ca_topic_score_gemma":0.00001252347,"domain_scores_codex":[0.9982155,0.00005027449,0.0008817996,0.0001621929,0.0004258675,0.0002643735],"domain_scores_gemma":[0.9967577,0.001563212,0.0007208966,0.0002124668,0.0006971153,0.00004853738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001540624,0.001527656,0.001310618,0.0001724736,0.0001954947,2.242848e-7,0.03877618,0.00001370687,0.007101784,0.9124327,0.009453273,0.02900043],"study_design_scores_gemma":[0.0006000624,0.00005235742,0.0001113964,0.0008635754,0.00004876133,0.00003609216,0.0325345,0.004931685,0.02305741,0.9210689,0.01642341,0.0002718692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2765146,0.0001171206,0.7081021,0.007980079,0.001781929,0.002665251,0.00001912502,0.0003907002,0.002429112],"genre_scores_gemma":[0.5254306,0.00002460644,0.4730463,0.00005972217,0.00007434217,0.0003990333,0.00002853457,0.00002327713,0.0009135893],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2489161,"threshold_uncertainty_score":0.5085099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464814882976581,"score_gpt":0.3902570366430719,"score_spread":0.3656088878133061,"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."}}