{"id":"W7097659454","doi":"","title":"LINKING PROBABILITY TO REAL-WORLD SITUATIONS: HOW DO TEACHERS MAKE USE OF THE MATHEMATICAL POTENTIAL OF SIMULATION PROGRAMS?","year":2011,"lang":"en","type":"article","venue":"","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Probabilistic logic; Software; School teachers; Order (exchange); Statistical model; Probability theory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009386864,0.0004069803,0.0004420098,0.0008596396,0.0009856476,0.005187146,0.001464187,0.001423368,0.002159242],"category_scores_gemma":[0.06213676,0.0004991414,0.0003501382,0.0006641602,0.00196491,0.004356241,0.001345791,0.001429694,0.000435229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003201223,"about_ca_system_score_gemma":0.003247824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02832427,"about_ca_topic_score_gemma":0.03673441,"domain_scores_codex":[0.9917729,0.00640815,0.0001385736,0.0004931059,0.0008374195,0.0003497748],"domain_scores_gemma":[0.9591541,0.03174121,0.003537879,0.001798631,0.002085181,0.001682919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005162087,0.002512277,0.3623577,0.0009461676,0.0001725293,0.0009374068,0.2642516,0.03525669,0.008154348,0.03176754,0.006803638,0.2863239],"study_design_scores_gemma":[0.0003342287,0.001977666,0.3852051,0.001570277,0.0003199636,0.0007996052,0.2436557,0.189583,0.009059121,0.077484,0.08951897,0.0004923852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940192,0.0004656363,0.03486993,0.004483283,0.00003251163,0.0002105525,0.00005490412,0.0002019351,0.01948921],"genre_scores_gemma":[0.9911034,0.0003482275,0.00743425,0.0001299666,0.000004824807,0.00009722246,0.00003808281,0.00001924033,0.0008248438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02832427,"threshold_uncertainty_score":0.05631882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4498601565701678,"score_gpt":0.4275156612563171,"score_spread":0.02234449531385069,"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."}}