{"id":"W4254346527","doi":"10.5206/notabene.v2i1.6545","title":"Foreword and Front Matter","year":2011,"lang":"en","type":"article","venue":"Nota bene","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"University of Georgia; National Endowment for the Humanities","keywords":"Front (military); Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[],"category_scores_codex":[0.00002537563,0.00005336644,0.00006241914,0.0000128905,0.00008558071,0.000016254,0.00005970719,0.00003974418,0.01403012],"category_scores_gemma":[0.000001626503,0.00004372805,0.00002283618,0.000004000599,0.0001741019,0.00003138857,0.00004164983,0.00006512173,0.0003989144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003950613,"about_ca_system_score_gemma":0.00000166437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002132674,"about_ca_topic_score_gemma":0.0004011811,"domain_scores_codex":[0.9997111,0.000002629082,0.00006315927,0.00008972747,0.0000343344,0.00009904522],"domain_scores_gemma":[0.999827,0.000006630562,0.00001839579,0.0001143674,0.00001476853,0.0000188269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000752307,0.00006719756,0.03295386,0.00001363748,0.00005034962,0.000004645111,0.04894057,1.687666e-8,0.00004523749,0.8081438,0.09794268,0.01183046],"study_design_scores_gemma":[0.0004200967,0.0001159298,0.08383972,0.00001646763,0.00004480797,0.000004552151,0.002884499,0.00004706303,0.0006293863,0.07210556,0.8396075,0.0002843589],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7322119,0.0002328308,0.00001049794,0.0003471615,0.0001889353,0.00004563243,0.00001658226,0.00004725259,0.2668992],"genre_scores_gemma":[0.980948,0.00001448708,0.0004300319,0.0005353548,0.0001064336,0.000006410188,0.000001901202,0.000008036757,0.01794934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7416649,"threshold_uncertainty_score":0.9868712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343763026845056,"score_gpt":0.1950766712815043,"score_spread":0.1607003685969987,"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."}}