{"id":"W4391287098","doi":"","title":"On students’ ways of dealing with area and perimeter’s relation","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Relation (database); Perimeter; Computer science; Mathematics; Geometry; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006430262,0.0005102069,0.0003757353,0.001577525,0.004457342,0.0146309,0.001540828,0.002216784,0.01092903],"category_scores_gemma":[0.01543559,0.0003685095,0.000676969,0.00159645,0.01393365,0.006781961,0.007064461,0.005214646,0.0010974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002867873,"about_ca_system_score_gemma":0.002398006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002448369,"about_ca_topic_score_gemma":0.003234293,"domain_scores_codex":[0.9913912,0.0054138,0.0002923401,0.000742525,0.001617206,0.0005428436],"domain_scores_gemma":[0.9879273,0.005815261,0.001490076,0.00105575,0.002041261,0.001670366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000906301,0.0001549634,0.01832873,0.0001559066,0.00002880343,0.0006162417,0.6362386,0.0006809322,0.002622932,0.301907,0.004706374,0.03446881],"study_design_scores_gemma":[0.00003183663,0.0001885561,0.01160095,0.0003371715,0.00004575896,0.001020826,0.638656,0.001565405,0.002325262,0.0864735,0.2576749,0.00007988681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7059655,0.0009164715,0.0249395,0.01212094,0.0004075415,0.00008377072,0.00005091049,0.00008471826,0.2554305],"genre_scores_gemma":[0.9770452,0.0002783374,0.002287564,0.0003424629,0.00003815927,0.00002279709,0.00001337664,0.00003744698,0.01993473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0146309,"threshold_uncertainty_score":0.03656119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0458375535323222,"score_gpt":0.3016999197164638,"score_spread":0.2558623661841416,"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."}}