{"id":"W4312426771","doi":"10.1145/3577871.3577874","title":"SIGCSE Technical Symposium 2023","year":2022,"lang":"en","type":"article","venue":"ACM SIGCSE Bulletin","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convention; Theme (computing); Library science; Political science; Coronavirus disease 2019 (COVID-19); Center (category theory); Law; Computer science; Medicine; Chemistry","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":["insufficient_payload"],"category_scores_codex":[0.0005947204,0.000163338,0.0001929467,0.000120987,0.0004195677,0.0001165541,0.002542749,0.0000541538,0.0009455018],"category_scores_gemma":[0.0003480343,0.0001656932,0.0001255294,0.0005359746,0.00004709303,0.00004879531,0.002725919,0.0006331551,0.001101637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007502862,"about_ca_system_score_gemma":0.00007767939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003574957,"about_ca_topic_score_gemma":0.000001487202,"domain_scores_codex":[0.9981352,0.0001830467,0.0002627829,0.0005117905,0.0005099678,0.0003971926],"domain_scores_gemma":[0.9981218,0.0003035384,0.0001037214,0.001299307,0.00004444715,0.0001271983],"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":[0.00003674558,0.0007978626,0.001244669,0.00002976095,0.00005667433,0.0006150412,0.000473307,0.01364709,0.006334139,0.02384254,0.9349557,0.01796648],"study_design_scores_gemma":[0.0003615514,0.0002732677,0.000246945,0.000008276213,0.00001219515,0.0001072059,0.00005799308,0.006370825,0.0003120343,0.002752526,0.9891753,0.0003218767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04165684,0.0005397273,0.02880441,0.8902557,0.002097132,0.0005852751,0.00003565864,0.002535913,0.03348938],"genre_scores_gemma":[0.9176314,0.00003433955,0.04311752,0.004440631,0.0003305632,0.00007552245,0.00001904166,0.00003728845,0.03431362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.885815,"threshold_uncertainty_score":0.9999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009803699470074466,"score_gpt":0.2411844277998244,"score_spread":0.2313807283297499,"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."}}