{"id":"W2201244376","doi":"","title":"By Quantity or Quality? Note Writing Assessment in Online Discourse","year":2010,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Quality (philosophy); Linguistics; Quality assessment; Writing assessment; Psychology; Computer science; Epistemology; Mathematics education; Business; Philosophy; Marketing","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":[0.02734815,0.0005923457,0.001016025,0.006001052,0.001368784,0.009550843,0.001268606,0.001977886,0.005453558],"category_scores_gemma":[0.2290746,0.000526082,0.0006045474,0.002853725,0.002798777,0.01179438,0.004205006,0.001685555,0.001508409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298716,"about_ca_system_score_gemma":0.001239686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357456,"about_ca_topic_score_gemma":0.002696356,"domain_scores_codex":[0.9654686,0.01359317,0.004961856,0.002116909,0.01311592,0.0007434956],"domain_scores_gemma":[0.6952078,0.2115468,0.0263519,0.01203755,0.04981744,0.005038415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004152052,0.0008536601,0.4107607,0.001667251,0.0005223059,0.0004170845,0.03990538,0.001646461,0.02725499,0.01071542,0.003465379,0.4986394],"study_design_scores_gemma":[0.0004729221,0.004584075,0.735671,0.002306962,0.001055165,0.001830752,0.06398145,0.04461173,0.0644013,0.05455813,0.02594903,0.0005774074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9158158,0.002782867,0.04457002,0.002412827,0.0004619867,0.0006767819,0.0004894134,0.0004163705,0.03237392],"genre_scores_gemma":[0.9815099,0.0003913723,0.0141321,0.0001556296,0.0001259519,0.0001688589,0.0001414291,0.0001092235,0.003265476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02734815,"threshold_uncertainty_score":0.1446325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05373138211832316,"score_gpt":0.3858554812555718,"score_spread":0.3321240991372486,"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."}}