{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00299708,0.001475463,0.0006512565,0.001808659,0.001388191,0.00523913,0.001273311,0.002040648,0.2536279],"category_scores_gemma":[0.00306752,0.0004974161,0.0007199167,0.001238748,0.0005414258,0.003323585,0.002225301,0.002773741,0.2708545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025105,"about_ca_system_score_gemma":0.002448125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003382558,"about_ca_topic_score_gemma":0.007993248,"domain_scores_codex":[0.998764,0.0002080112,0.00006923066,0.0001810374,0.000616155,0.0001615657],"domain_scores_gemma":[0.997424,0.0002309094,0.00004389977,0.0003871742,0.001170538,0.0007434621],"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":[0.00006458748,0.00007247168,0.0002197295,0.00006662919,0.00001091609,0.0001124433,0.00004012845,0.0001504694,0.000995975,0.002720354,0.8875049,0.1080414],"study_design_scores_gemma":[0.00001228402,0.00001985759,0.0002400203,0.00004360032,0.000006648163,0.0001104467,0.00003909665,0.0004487835,0.0004620912,0.001198482,0.9974125,0.00000615575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006664112,0.01780382,0.0603172,0.03008089,0.08548407,0.0005167622,0.006451762,0.009978428,0.782703],"genre_scores_gemma":[0.01016941,0.007505548,0.01324416,0.002443621,0.005848553,0.0002442909,0.007428354,0.001588678,0.9515274],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2536279,"threshold_uncertainty_score":0.8484699,"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."}}