{"id":"W4383219807","doi":"10.1145/3607479.3607481","title":"SIGCSE Technical Symposium 2023 Report","year":2023,"lang":"en","type":"article","venue":"ACM SIGCSE Bulletin","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attendance; Library science; Coronavirus disease 2019 (COVID-19); Computer science; Political science; Medicine; Law","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":[0.005990222,0.001673579,0.0008654406,0.002945119,0.001709724,0.008018184,0.001543134,0.00269701,0.5352731],"category_scores_gemma":[0.008087159,0.0006327978,0.001024812,0.002421346,0.0005138252,0.00497676,0.002449683,0.003732917,0.6266283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813377,"about_ca_system_score_gemma":0.005548746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008978583,"about_ca_topic_score_gemma":0.01042072,"domain_scores_codex":[0.9970533,0.0003025834,0.0001808137,0.0003691062,0.001778775,0.0003154264],"domain_scores_gemma":[0.9906629,0.0006465713,0.0001482895,0.001013272,0.005729272,0.001799602],"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":[0.00002808979,0.00003912768,0.0001054233,0.00005066019,0.000004248847,0.00002265387,0.00001328622,0.00004294782,0.000257113,0.001108806,0.9581837,0.04014394],"study_design_scores_gemma":[0.00001055971,0.00001634217,0.0002053202,0.0000475182,0.000005252895,0.00003354415,0.0000276097,0.0001034179,0.0002035657,0.0004944333,0.9988463,0.000006140108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001691955,0.009353746,0.01605833,0.02939506,0.06444325,0.0008307849,0.02609186,0.009647573,0.8424874],"genre_scores_gemma":[0.003368865,0.005226851,0.0045069,0.003181735,0.004508457,0.0003634892,0.02116556,0.001967054,0.9557111],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5352731,"threshold_uncertainty_score":0.6628765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08576458313553763,"score_gpt":0.3997910284691278,"score_spread":0.3140264453335902,"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."}}