{"id":"W4239700496","doi":"10.1109/cqr47547.2020.9101179","title":"CQR 2020 Technical Program Committee","year":2020,"lang":"en","type":"article","venue":"","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.0000341113,0.00004241103,0.00004561072,0.000007852484,0.00002312418,0.00006408273,0.0003821924,0.00001780673,0.00002436279],"category_scores_gemma":[0.00002391744,0.00003710357,0.00002186048,0.0002065911,0.000007277898,0.00008302597,0.0001210557,0.00007189492,0.0001096085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007136335,"about_ca_system_score_gemma":0.00002170517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000167887,"about_ca_topic_score_gemma":5.589465e-7,"domain_scores_codex":[0.9996114,0.000003408903,0.00006974758,0.0001217735,0.00009625846,0.00009744319],"domain_scores_gemma":[0.999719,0.00002258081,0.000007618579,0.0001307406,0.00001928074,0.0001007664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.573333e-7,0.0001086734,0.0006148815,0.00001701263,0.000008108519,0.000008159553,0.0001837152,0.003420442,0.0009381203,0.8664665,0.08543396,0.04279974],"study_design_scores_gemma":[0.0001418338,0.0001740983,0.01023589,0.000007280088,0.000002919787,0.00001559895,0.0000202153,0.757874,0.0004678654,0.002483324,0.2283183,0.0002586297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004202234,0.0000325495,0.9240148,0.05598135,0.0001323285,0.0000838605,1.422986e-7,0.0005592288,0.0187755],"genre_scores_gemma":[0.5406383,0.000002816137,0.4578746,0.001301729,0.00009204732,0.00001005062,7.736479e-7,0.000002998072,0.00007663569],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8639832,"threshold_uncertainty_score":0.151304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086511776138991,"score_gpt":0.2593284947902975,"score_spread":0.2384633770289076,"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."}}