{"id":"W4210294904","doi":"10.1112/j.1469-7750.2011.tb09273.x","title":"Front Matter","year":2011,"lang":"en","type":"paratext","venue":"Journal of the London Mathematical Society","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Citation; Computer science; Library science; World Wide Web; Information retrieval; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007175243,0.00165553,0.0008805371,0.001602016,0.0015777,0.004931415,0.001152116,0.003540394,0.9607002],"category_scores_gemma":[0.002768799,0.0005855896,0.0008000317,0.001010821,0.001009968,0.002558643,0.002861666,0.001827061,0.9446161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008503541,"about_ca_system_score_gemma":0.000982248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001084338,"about_ca_topic_score_gemma":0.001624248,"domain_scores_codex":[0.9991622,0.00008111262,0.00005549111,0.0002974609,0.0002388821,0.0001647528],"domain_scores_gemma":[0.9981198,0.0003274041,0.0001243752,0.0002542667,0.0004300519,0.0007441354],"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":[0.000154848,0.0001219276,0.0006677695,0.0002903476,0.00001445207,0.0002176656,0.00007643404,0.000116082,0.001681238,0.005414866,0.7486568,0.2425877],"study_design_scores_gemma":[0.00002460086,0.00003056087,0.0007673461,0.0001198635,0.000003747856,0.0002241677,0.00006313431,0.00009559371,0.0001976621,0.0006584878,0.9978099,0.000004937234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008754896,0.0008446322,0.0007422747,0.002469353,0.004548738,0.00008746787,0.001308762,0.0008137161,0.9883095],"genre_scores_gemma":[0.001969679,0.0003129979,0.0002645142,0.0008826128,0.0005045918,0.00002149537,0.0005177227,0.0001431639,0.9953833],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03929985,"threshold_uncertainty_score":0.05605638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767616694083182,"score_gpt":0.2992504560669987,"score_spread":0.2715742891261669,"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."}}