{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005272436,0.001636385,0.0007849954,0.002459381,0.002361496,0.008763094,0.001484232,0.002318853,0.3727278],"category_scores_gemma":[0.007131807,0.0006568584,0.0009376142,0.001926666,0.000893435,0.005359068,0.003354918,0.004482021,0.4098666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002364715,"about_ca_system_score_gemma":0.005127257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007020751,"about_ca_topic_score_gemma":0.01401673,"domain_scores_codex":[0.9972668,0.0004114613,0.000146523,0.0003554199,0.001476868,0.000343047],"domain_scores_gemma":[0.9945948,0.0005112037,0.0001078398,0.0007602497,0.002539269,0.001486628],"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":[0.00002581054,0.00003069374,0.0001376376,0.00005068662,0.000004758791,0.00005261118,0.00003207062,0.00006351878,0.000317709,0.002136229,0.9422306,0.05491773],"study_design_scores_gemma":[0.000005583814,0.000009008858,0.0001308151,0.00003835904,0.000002566917,0.00004846901,0.00003211002,0.0001216003,0.0001493663,0.0008204721,0.998637,0.000004576479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002779746,0.01615164,0.03089702,0.04343367,0.09923261,0.0005173947,0.009763908,0.0106723,0.7865517],"genre_scores_gemma":[0.006291823,0.008640802,0.006065184,0.003921464,0.008881528,0.0002645124,0.01001875,0.002261472,0.9536545],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3727278,"threshold_uncertainty_score":0.8947276,"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."}}