{"id":"W4381432357","doi":"10.5206/notabene.v16i1.16616","title":"Foreword and Front Matter","year":2023,"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":"","funders":"","keywords":"Front (military); Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008950146,0.0008775636,0.001136215,0.001583312,0.002520152,0.005980922,0.001435093,0.007357742,0.5650169],"category_scores_gemma":[0.005669739,0.0004521085,0.0008595658,0.0007609497,0.0008848395,0.002199432,0.001971981,0.004594871,0.6258593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149486,"about_ca_system_score_gemma":0.002467898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340468,"about_ca_topic_score_gemma":0.002749392,"domain_scores_codex":[0.9992127,0.00006635003,0.00004634002,0.0001281975,0.0004322244,0.0001140388],"domain_scores_gemma":[0.9962291,0.0006391526,0.0002091419,0.0002200499,0.001335385,0.001367214],"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":[0.0000160128,0.00001090828,0.00002165205,0.00007385385,0.000001664535,0.00002888275,0.000004731356,0.000007864188,0.0001115841,0.0006108643,0.9732983,0.02581355],"study_design_scores_gemma":[0.000005179313,0.000007975536,0.00008767598,0.00008114304,0.000001869925,0.00004038979,0.00001165403,0.00001561646,0.0000526542,0.0005344555,0.9991585,0.000002869755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000305133,0.009191507,0.000702616,0.07957069,0.3830847,0.0001757073,0.0009001057,0.0007201349,0.5253494],"genre_scores_gemma":[0.001179022,0.002680877,0.0002742298,0.03424259,0.04735966,0.00007708526,0.0003767129,0.0002188276,0.913591],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4349831,"threshold_uncertainty_score":0.6204506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165799547370906,"score_gpt":0.2177143863815559,"score_spread":0.1960563909078469,"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."}}