{"id":"W2917651062","doi":"10.1145/3303772.3303816","title":"Topic Development to Support Revision Feedback","year":2019,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Paragraph; CLARITY; Computer science; Coherence (philosophical gambling strategy); Analytics; Meaning (existential); Data science; Psychology; World Wide Web","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":[0.01144481,0.001660613,0.0009067605,0.002838899,0.0009662915,0.004159243,0.00217119,0.001243226,0.009865834],"category_scores_gemma":[0.09466945,0.000876958,0.001187416,0.001450428,0.0006508314,0.004208818,0.004995238,0.002023469,0.006424973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009937519,"about_ca_system_score_gemma":0.002229899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007482105,"about_ca_topic_score_gemma":0.001190411,"domain_scores_codex":[0.9911782,0.004481315,0.0007281367,0.0017621,0.001591907,0.0002583024],"domain_scores_gemma":[0.9131653,0.05118045,0.004304918,0.01147303,0.017549,0.002327305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001054305,0.0006390747,0.01228947,0.001776908,0.0001313795,0.0004842623,0.02201417,0.009079286,0.04566591,0.00861022,0.03596175,0.8622933],"study_design_scores_gemma":[0.0008554288,0.001809628,0.00943735,0.0009855489,0.0004237972,0.00128252,0.009265689,0.503585,0.1135709,0.0575676,0.3007734,0.0004431617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06550409,0.0003986481,0.8867146,0.001028611,0.0005789975,0.001776703,0.001361253,0.03591106,0.006726075],"genre_scores_gemma":[0.2787875,0.0002872964,0.7030191,0.0003019289,0.0002401766,0.002731135,0.002790127,0.003589249,0.008253505],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01144481,"threshold_uncertainty_score":0.06052667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02563589638217187,"score_gpt":0.2563791137288274,"score_spread":0.2307432173466556,"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."}}