{"id":"W4253166488","doi":"10.13111/2066-8201.2018.10.2.1","title":"Foreword","year":2018,"lang":"en","type":"article","venue":"INCAS BULLETIN","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002838294,0.000115211,0.0001079528,0.00006994261,0.0001077548,0.00002218541,0.0002212358,0.00006358551,0.0187387],"category_scores_gemma":[0.000167745,0.000107739,0.00004674747,0.0001665054,0.0002177461,0.00002017973,0.0001040086,0.0001029441,0.4028089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005172519,"about_ca_system_score_gemma":0.00001895564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001038417,"about_ca_topic_score_gemma":0.00004564472,"domain_scores_codex":[0.9990431,0.00004802828,0.0001534583,0.000225393,0.0002071292,0.0003228657],"domain_scores_gemma":[0.9993317,0.00004520586,0.00005463986,0.0003700338,0.0001088449,0.00008960953],"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":[0.00006109975,0.00004207521,0.0009624144,0.000003012275,0.0000118683,0.00001974691,0.0001824291,3.681907e-7,0.003340968,0.002364903,0.9901041,0.002907054],"study_design_scores_gemma":[0.0003079296,0.00009684958,0.003206113,0.00001262339,0.000007176462,0.00002718641,0.0000255438,0.00005476398,0.006854292,0.0005784948,0.9886839,0.0001451209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.713975,0.0001091691,0.0003497401,0.004163801,0.000448402,0.0002269136,0.00006304028,0.0006753335,0.2799886],"genre_scores_gemma":[0.9843591,7.309969e-7,0.002997443,0.0009882945,0.0007646682,0.0000152643,0.000005397385,0.00007373873,0.01079533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3840702,"threshold_uncertainty_score":0.9821583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473802890167924,"score_gpt":0.2651151154259045,"score_spread":0.2503770865242252,"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."}}