{"id":"W2918751067","doi":"10.1587/transinf.e93.d.409","title":"FOREWORD","year":2010,"lang":"en","type":"article","venue":"IEICE Transactions on Information and Systems","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001179322,0.001029539,0.0007993302,0.001708501,0.001595062,0.003272388,0.001306896,0.003165081,0.3057432],"category_scores_gemma":[0.008042685,0.0002452415,0.0006376487,0.0009626899,0.0005804254,0.002225713,0.001987382,0.003593683,0.3000212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351028,"about_ca_system_score_gemma":0.002698937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00233059,"about_ca_topic_score_gemma":0.003879522,"domain_scores_codex":[0.9991317,0.0001096813,0.00006106264,0.000125044,0.0004665738,0.0001058878],"domain_scores_gemma":[0.9956954,0.0005543903,0.0001943071,0.000247342,0.00247685,0.0008317048],"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":[0.00001356528,0.000007276914,0.00002136527,0.00006770296,0.000001478606,0.00002544936,0.000006143019,0.00000706838,0.00007370227,0.0008604204,0.9705665,0.02834938],"study_design_scores_gemma":[0.00000360879,0.000009290782,0.00007733732,0.00008917055,0.000002537266,0.00006021969,0.00001082038,0.000008426196,0.00007641766,0.0007090526,0.9989506,0.000002597478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003963925,0.02249893,0.00204066,0.1091302,0.6090657,0.0002656838,0.002039075,0.0006389418,0.2539244],"genre_scores_gemma":[0.002335658,0.009919562,0.0008456575,0.05029704,0.09865105,0.0001874224,0.001554384,0.0003702407,0.835839],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.6942568,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143687110926771,"score_gpt":0.2379040206832651,"score_spread":0.2264671495739974,"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."}}