{"id":"W4399489108","doi":"10.22318/cscl2024.584821","title":"Use of AI to Foster Greater Awareness and Reflexivity Around Harmful Content in Online Discussion Tools","year":2024,"lang":"en","type":"article","venue":"Computer-supported collaborative learning/˜The œComputer-Supported Collaborative Learning Conference","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eurostars; Mitacs","keywords":"Reflexivity; Content (measure theory); Computer science; Internet privacy; Psychology; World Wide Web; Sociology; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01179885,0.0009277716,0.0004957315,0.003367984,0.0006188446,0.002947467,0.001420786,0.0008345466,0.003330509],"category_scores_gemma":[0.05925513,0.0004256273,0.0005233937,0.0009777076,0.001310926,0.004842605,0.00267865,0.001572029,0.001552579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006376572,"about_ca_system_score_gemma":0.001135174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008027251,"about_ca_topic_score_gemma":0.001115278,"domain_scores_codex":[0.9924953,0.003977859,0.0003977897,0.001580553,0.001283337,0.000265197],"domain_scores_gemma":[0.8955072,0.08676649,0.005632006,0.006074819,0.00465352,0.001366018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001258785,0.001496891,0.06123396,0.002231902,0.0001628114,0.0003833242,0.01746265,0.002490755,0.09973528,0.006408406,0.004894284,0.802241],"study_design_scores_gemma":[0.0005778179,0.005793759,0.1778377,0.001423627,0.0009421573,0.002852974,0.01456938,0.3036188,0.2789286,0.05239027,0.1602816,0.0007832521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4544995,0.0009573744,0.4827206,0.001709104,0.0002144604,0.002089453,0.0007984796,0.04195355,0.01505764],"genre_scores_gemma":[0.5735008,0.0002048673,0.4206893,0.0004866989,0.00008117886,0.0008010904,0.0006107783,0.0005005195,0.003124742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01179885,"threshold_uncertainty_score":0.06239897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09542730985263603,"score_gpt":0.3648035501936532,"score_spread":0.2693762403410172,"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."}}