{"id":"W2112169282","doi":"10.1145/2728793.2728803","title":"SIGCSE symposium preview","year":2015,"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":"University of British Columbia","funders":"","keywords":"Computer science; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01076688,0.0002750381,0.0005468947,0.000208154,0.0001710427,0.001461598,0.007222008,0.0002478031,0.003090912],"category_scores_gemma":[0.05558784,0.0001912295,0.0001762777,0.0009514242,0.0001466517,0.0007334395,0.0018344,0.0005712883,0.02028047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000794821,"about_ca_system_score_gemma":0.0002238023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001262918,"about_ca_topic_score_gemma":0.00000554849,"domain_scores_codex":[0.994552,0.0006343559,0.001018577,0.0008764514,0.002371657,0.0005470311],"domain_scores_gemma":[0.9937508,0.002337943,0.0004550368,0.002182324,0.0006270705,0.0006468348],"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":[0.00002703018,0.00004174469,0.002947618,0.000004970188,0.000009462223,0.00001837199,0.0004190576,0.00004899134,0.00002430776,0.00036346,0.9658945,0.03020054],"study_design_scores_gemma":[0.0004703735,0.00005495953,0.0003817035,0.000043856,0.00001673791,0.0000290231,0.0004103945,0.0000495823,0.0003646212,0.01376113,0.9841385,0.0002791561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1588143,0.009249268,0.001583927,0.3736633,0.004693857,0.001416336,0.00004820003,0.0006393537,0.4498915],"genre_scores_gemma":[0.8563393,0.0004685145,0.004647532,0.01504735,0.001290436,0.0001021198,0.00001948038,0.00006966502,0.1220156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.697525,"threshold_uncertainty_score":0.999575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1818611352153002,"score_gpt":0.4119725235561093,"score_spread":0.2301113883408091,"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."}}