{"id":"W4287734807","doi":"10.1145/3551627.3551630","title":"SIGCSE Technical Symposium 2022","year":2022,"lang":"en","type":"article","venue":"ACM SIGCSE Bulletin","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Curriculum; Library science; Engineering ethics; Mathematics education; Pedagogy; Sociology; Psychology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006669056,0.000171143,0.0002008075,0.0001304137,0.0004790485,0.0001147022,0.002731535,0.00005349712,0.001192479],"category_scores_gemma":[0.0003453571,0.0001753076,0.000132802,0.0005560844,0.00004863025,0.00005241958,0.003092477,0.0007264756,0.0006522436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008773041,"about_ca_system_score_gemma":0.00008569608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002595434,"about_ca_topic_score_gemma":0.000001164404,"domain_scores_codex":[0.9979818,0.0002160421,0.0002735264,0.0005449277,0.0005741526,0.0004095586],"domain_scores_gemma":[0.9980156,0.0003004372,0.0001128209,0.001395242,0.00004476864,0.0001311498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004954734,0.001082839,0.001791257,0.00003366862,0.00006786563,0.0007415796,0.0007358587,0.01305189,0.01107556,0.03530437,0.9088404,0.02722516],"study_design_scores_gemma":[0.0003894531,0.0003033522,0.0002093883,0.000006746609,0.00001294573,0.0001308225,0.00006737601,0.006532042,0.0004267568,0.002939673,0.9886439,0.0003374938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05463131,0.0007212621,0.03038054,0.8839597,0.002202661,0.0006332947,0.00003509255,0.002830008,0.02460616],"genre_scores_gemma":[0.9366475,0.00004086622,0.03577957,0.004868661,0.0002949235,0.00008324893,0.00001942211,0.00003845728,0.02222734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8820162,"threshold_uncertainty_score":0.9997206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008098054402994043,"score_gpt":0.2358033172040749,"score_spread":0.2277052628010808,"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."}}