{"id":"W4392021728","doi":"10.51644/9781554589081-fm","title":"Front Matter","year":2013,"lang":"en","type":"paratext","venue":"","topic":"Historical and Political Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada","keywords":"Front (military); Materials science; Mechanical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005707176,0.0001071562,0.0002135961,0.00001893007,0.0003453235,0.00004984703,0.0001832644,0.0002228055,0.8046814],"category_scores_gemma":[0.0000279802,0.00007490181,0.00008101224,0.00003534815,0.0002364161,0.00003456565,0.00004640894,0.0001541632,0.9515562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841133,"about_ca_system_score_gemma":0.00006545081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02598098,"about_ca_topic_score_gemma":0.0008866534,"domain_scores_codex":[0.9990596,0.00007203817,0.0001196371,0.0001550681,0.0002274707,0.0003661543],"domain_scores_gemma":[0.9995712,0.00009298673,0.00002581889,0.00008730453,0.00005518781,0.0001674843],"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":[2.423514e-7,0.000008951743,0.00001388732,0.00000786927,0.000009827981,2.302017e-7,0.0008153514,1.736885e-8,7.115605e-8,0.007760272,0.9909335,0.0004497801],"study_design_scores_gemma":[0.00001502059,0.000004823759,0.00003453049,0.000006793306,0.000005914048,2.334762e-8,0.00009892277,6.387658e-8,4.835728e-7,0.0006358608,0.9990703,0.0001272957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004477582,0.001257743,0.00005380574,0.006073815,0.003062976,0.000115646,0.00001289096,0.00002145203,0.9893972],"genre_scores_gemma":[0.0001348108,0.0004088664,0.00007428494,0.002713577,0.002061584,0.00003210079,0.000007601523,0.000007916772,0.9945592],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1468749,"threshold_uncertainty_score":0.9805051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102904868487166,"score_gpt":0.3112240137856931,"score_spread":0.2801949651008215,"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."}}