{"id":"W4252326612","doi":"10.1109/ipta.2019.8936112","title":"IPTA 2019 Technical Program Committee","year":2019,"lang":"en","type":"article","venue":"","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Università degli Studi di Brescia; Université de Genève; Universidad del Atlántico; Université Mohammed V de Rabat; Université de Moncton; Yeditepe Üniversitesi; Institut national de recherche en informatique et en automatique (INRIA); Université de Montpellier; Oulun Yliopisto; King Fahd University of Petroleum and Minerals; Florida Atlantic University","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007480392,0.00004390319,0.00004820623,0.00002721878,0.00001538789,0.00006379617,0.0004071386,0.00002370054,0.00004889917],"category_scores_gemma":[0.000005864995,0.0000368895,0.00002268651,0.0001296986,0.000005327245,0.0001182895,0.0001122759,0.00006421598,0.0005998877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001343976,"about_ca_system_score_gemma":0.00002391186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006701119,"about_ca_topic_score_gemma":9.637888e-7,"domain_scores_codex":[0.9995841,0.000003225528,0.00006719281,0.0001217864,0.0001049374,0.0001187709],"domain_scores_gemma":[0.9995868,0.00002799987,0.000009043561,0.0003105321,0.00002365077,0.00004200228],"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":[2.170931e-7,0.0000909361,0.002084542,0.000006316206,0.000003962558,5.672404e-7,0.00002230128,0.00133536,0.0006331005,0.9550854,0.02432718,0.01641013],"study_design_scores_gemma":[0.0003751096,0.0002839253,0.1366345,0.00003408627,0.000004099646,0.00004272879,0.00002135579,0.4704869,0.0006969065,0.009860414,0.3809736,0.0005864199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01453941,0.00009572069,0.8174094,0.007621007,0.001562548,0.0003955814,3.673499e-7,0.0009774158,0.1573986],"genre_scores_gemma":[0.6250416,0.000002849312,0.370211,0.0002019101,0.00003523967,0.000009108293,0.000001335346,0.000004032491,0.004492969],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.945225,"threshold_uncertainty_score":0.7710542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008545215217904533,"score_gpt":0.2494903092992054,"score_spread":0.2409450940813009,"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."}}