{"id":"W1578240943","doi":"","title":"Designing Distributed Virtual Laboratories: Methodological and Telecommunications Aspects","year":2003,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Telecommunications; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006663548,0.0002952215,0.0003090641,0.0001684505,0.0002129462,0.0001231541,0.0002731807,0.0002306506,0.00003051567],"category_scores_gemma":[0.0008257884,0.0003213082,0.00005538192,0.0005750095,0.00008459484,0.0002208327,0.00008729538,0.0005836306,0.000008431683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003443815,"about_ca_system_score_gemma":0.000046146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001101832,"about_ca_topic_score_gemma":0.00005461607,"domain_scores_codex":[0.9985008,0.0002434155,0.0003193095,0.0002563394,0.0001586563,0.0005214867],"domain_scores_gemma":[0.9986821,0.0004319807,0.00005136002,0.0005496055,0.00004931685,0.0002355922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001687274,0.0001128933,0.01141638,0.00005282291,0.0001473033,0.00004771378,0.0007702914,0.4163189,0.4127806,0.1545343,0.0009541715,0.002847681],"study_design_scores_gemma":[0.001102423,0.0003668985,0.01793011,0.0001463687,0.0000790808,0.000374787,0.001796276,0.3254982,0.6169273,0.002842771,0.03113594,0.001799929],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08692849,0.003164713,0.9061524,0.0001262104,0.0001096756,0.0002690376,0.00002560482,0.001881149,0.001342729],"genre_scores_gemma":[0.6352425,0.000205139,0.3641743,0.0000755907,0.00002376604,0.0001738561,0.00001817362,0.00005698881,0.00002964545],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5483141,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880142092046082,"score_gpt":0.2533028366854008,"score_spread":0.23450141576494,"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."}}