{"id":"W1528271819","doi":"10.22329/celt.v4i0.3266","title":"4. A Learner-Centred Mock Conference Model for Undergraduate Teaching","year":2011,"lang":"en","type":"article","venue":"Collected Essays on Learning and Teaching","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Variety (cybernetics); Flexibility (engineering); Process (computing); Mathematics education; Learning styles; Computer science; Teaching method; Psychology; Pedagogy; Artificial intelligence; Management","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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003674712,0.0002461898,0.0002920724,0.0002356038,0.005174934,0.000352549,0.0002991107,0.0001826594,0.00006593315],"category_scores_gemma":[0.01009284,0.0002528183,0.00009281717,0.0001114084,0.0001605972,0.0005080246,0.00007069702,0.001655902,0.00001923148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001452381,"about_ca_system_score_gemma":0.0003233649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775246,"about_ca_topic_score_gemma":0.0005052097,"domain_scores_codex":[0.9957766,0.002298868,0.0003271959,0.0005417741,0.0004921081,0.0005634609],"domain_scores_gemma":[0.9977023,0.00139747,0.0003575074,0.0001773447,0.0001469189,0.000218483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002809225,0.000317786,0.003834475,0.00004093755,0.0001137458,0.000003927239,0.1867164,0.003894645,0.0003197246,0.7646102,0.001950711,0.03791652],"study_design_scores_gemma":[0.002471542,0.0005821823,0.0006749139,0.000347151,0.0002016604,0.000005730957,0.03045216,0.8523734,0.00004639425,0.05887596,0.05298475,0.0009841934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2077433,0.0001561024,0.06981453,0.008106106,0.0003925887,0.001035447,0.000006641932,0.001189121,0.7115561],"genre_scores_gemma":[0.9371993,0.00005171391,0.01272268,0.0001537644,0.000110839,0.00005143334,0.00001114823,0.00004302815,0.04965609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8484787,"threshold_uncertainty_score":0.9999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1940985810958534,"score_gpt":0.3896761325680004,"score_spread":0.1955775514721469,"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."}}