{"id":"W4232789216","doi":"10.1016/j.websem.2005.07.002","title":"Preface","year":2005,"lang":"fr","type":"article","venue":"Journal of Web Semantics","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001765158,0.0003283306,0.0006601007,0.0003783533,0.0001004505,0.0001611839,0.0005875592,0.0002764888,0.001185897],"category_scores_gemma":[0.0004562669,0.0003178252,0.0004500587,0.0005049757,0.0002444317,0.001036657,0.0001077348,0.001176791,0.01049385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005632896,"about_ca_system_score_gemma":0.0007650945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004145192,"about_ca_topic_score_gemma":0.00005070365,"domain_scores_codex":[0.9964122,0.0002698388,0.001399098,0.0001626132,0.001082865,0.0006734511],"domain_scores_gemma":[0.9962798,0.0001749374,0.001755366,0.0003794838,0.0009323583,0.0004780823],"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":[0.0003300071,0.002623236,0.008872963,0.00044361,0.001137029,0.001327464,0.002485405,0.02207536,0.08442347,0.006001977,0.8400155,0.03026396],"study_design_scores_gemma":[0.001911211,0.0004478612,0.001781301,0.0009331718,0.0007418912,0.004670199,0.000281953,0.01508463,0.007865257,0.0003407672,0.9655996,0.0003421376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8335011,0.07600534,0.000922011,0.07485801,0.006116865,0.0001868467,0.00008673604,0.00003885744,0.008284246],"genre_scores_gemma":[0.9229166,0.005216209,0.02928294,0.0004520048,0.007623388,2.240862e-7,9.198144e-7,0.0001796907,0.03432803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1255841,"threshold_uncertainty_score":0.9999274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658214332035548,"score_gpt":0.2789424095582196,"score_spread":0.2623602662378641,"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."}}