{"id":"W1583254403","doi":"10.5206/notabene.v1i1.6537","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":"","keywords":"Front (military); Geology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007171377,0.0008478109,0.00115002,0.001414952,0.002353152,0.004737907,0.001346875,0.007311923,0.4923684],"category_scores_gemma":[0.003618142,0.0004134363,0.0008080027,0.0007477988,0.0008323111,0.002112358,0.001640852,0.004120703,0.5357753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009811457,"about_ca_system_score_gemma":0.001823029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030899,"about_ca_topic_score_gemma":0.002059074,"domain_scores_codex":[0.9994611,0.0000462645,0.0000403163,0.0001007012,0.0002666236,0.00008500065],"domain_scores_gemma":[0.9974737,0.0004923275,0.0001505963,0.0001632586,0.0008633265,0.0008569276],"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":[0.0000280487,0.00001555655,0.00003103412,0.0001188095,0.000002621291,0.00005043185,0.000006355602,0.00001002124,0.0001969415,0.0008338324,0.960242,0.03846431],"study_design_scores_gemma":[0.000005450043,0.00001071199,0.0001214121,0.00007904431,0.000002587621,0.00006027256,0.00001170753,0.0000170466,0.00006910192,0.0005241315,0.9990957,0.000002857306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0004461895,0.01276432,0.0006799462,0.08386443,0.3810127,0.0001709432,0.000819177,0.0005449661,0.5196973],"genre_scores_gemma":[0.001490474,0.003431973,0.0002778669,0.02949481,0.04979441,0.00007457848,0.0003459469,0.00017011,0.9149197],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4923684,"threshold_uncertainty_score":0.7240748,"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."}}