{"id":"W4200571108","doi":"10.1142/9789811239014_fmatter","title":"FRONT MATTER","year":2021,"lang":"en","type":"paratext","venue":"Series on language processing, pattern recognition, and intelligent systems","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Front (military); Geology; Oceanography","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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0004832302,0.001411482,0.001593497,0.0006257443,0.0004617619,0.00170627,0.0004949181,0.0008995637,0.05424394],"category_scores_gemma":[0.00006436808,0.001291215,0.0002938581,0.0003110423,0.0003140849,0.0006223338,0.0001791442,0.001059092,0.3347692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003191501,"about_ca_system_score_gemma":0.0002894979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120164,"about_ca_topic_score_gemma":0.0003100563,"domain_scores_codex":[0.9941194,0.000546073,0.001530024,0.001807225,0.000962892,0.001034399],"domain_scores_gemma":[0.9965309,0.00008129986,0.001278306,0.0008423642,0.000874002,0.0003931459],"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":[0.0002566616,0.0004969275,0.0005672728,0.01555547,0.0006333063,0.0003289598,0.01551357,0.00002017572,0.0004226324,0.000001397672,0.8544651,0.1117385],"study_design_scores_gemma":[0.0009811479,0.0006450521,0.0001151493,0.02738674,0.0005809657,0.001431055,0.03823362,0.0002278912,0.01263206,0.00004388919,0.9132861,0.004436321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04283318,0.4041243,0.01463329,0.0003768443,0.02331497,0.005655352,0.02636943,0.001183287,0.4815094],"genre_scores_gemma":[0.08740118,0.00550549,0.000143825,0.002495137,0.006127954,0.001380321,0.03416461,0.001276751,0.8615047],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3986188,"threshold_uncertainty_score":0.9998636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858385981950889,"score_gpt":0.2716969246950449,"score_spread":0.243113064875536,"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."}}