{"id":"W2119728718","doi":"10.14742/ajet.1154","title":"Improving critical thinking using web based argument mapping exercises with automated feedback","year":2009,"lang":"en","type":"article","venue":"Australasian Journal of Educational Technology","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Australian Government","keywords":"Argument (complex analysis); Critical thinking; Computer science; Construct (python library); Variety (cybernetics); Mathematics education; Test (biology); Software; Psychology; Artificial intelligence; Programming language","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":[0.0007439914,0.0001525201,0.000243774,0.0006002061,0.0006479598,0.0001394792,0.0004332664,0.0001893165,0.0004757879],"category_scores_gemma":[0.001138207,0.0001377569,0.00006808394,0.0008142676,0.0004774462,0.0003042584,0.00001478012,0.0004253863,0.00001247979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004121644,"about_ca_system_score_gemma":0.003294358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001443999,"about_ca_topic_score_gemma":0.000009089169,"domain_scores_codex":[0.9981831,0.00009548453,0.0005069527,0.0001979084,0.0005719289,0.0004446813],"domain_scores_gemma":[0.998489,0.000269462,0.0002669024,0.0001370686,0.0006255566,0.0002120125],"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":[0.00006981105,0.001528052,0.03354407,0.0000716683,0.00009834961,0.00006261278,0.008627436,0.0002334225,0.005099544,0.9326271,0.003475392,0.01456254],"study_design_scores_gemma":[0.003301582,0.00138046,0.06513646,0.003497062,0.0004098705,0.001141568,0.100965,0.002007252,0.004797079,0.795123,0.02037786,0.001862827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6195716,0.0001805935,0.002777149,0.3733294,0.001008817,0.0002161773,0.000001783944,0.000217005,0.00269745],"genre_scores_gemma":[0.860766,0.000008642707,0.138156,0.0006704024,0.0002523285,0.000003514868,0.000001533587,0.00000937078,0.0001322274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.372659,"threshold_uncertainty_score":0.5844049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489847701150744,"score_gpt":0.3396140729346503,"score_spread":0.3147155959231429,"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."}}