{"id":"W4248984459","doi":"10.1002/9781118165409.fmatter","title":"Front Matter","year":2006,"lang":"en","type":"paratext","venue":"Wiley series in probability and statistics","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Front (military); Physics; Meteorology","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005437934,0.0006996405,0.001034197,0.0001814227,0.0001471635,0.0002009749,0.0003310562,0.0006154892,0.02062476],"category_scores_gemma":[0.0002261118,0.0007117514,0.00005980893,0.0001763251,0.001267716,0.0002447619,0.0002761825,0.000910894,0.05109167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004254072,"about_ca_system_score_gemma":0.0002705118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001100993,"about_ca_topic_score_gemma":0.00538192,"domain_scores_codex":[0.9963889,0.0004014933,0.001054722,0.001010343,0.0004324559,0.0007120494],"domain_scores_gemma":[0.998193,0.0002788485,0.0003444001,0.0008535665,0.0001952041,0.0001349688],"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":[0.0002107184,0.0002012225,0.004546594,0.00170238,0.00003379901,0.00002835658,0.0003504072,0.0003322519,0.000005310506,0.003435602,0.9881741,0.0009792391],"study_design_scores_gemma":[0.0005925834,0.0001855456,0.007736495,0.0006353598,0.00008005982,0.00003460138,0.00005272367,0.0002001684,0.00001687705,0.1020564,0.8872471,0.001161999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005977909,0.01634389,0.04823229,0.0005867988,0.008730753,0.006913789,0.2815233,0.0003316647,0.6313596],"genre_scores_gemma":[0.001049716,0.001749648,0.3661978,0.0003938304,0.0006411639,0.0006094212,0.01656875,0.0004891568,0.6123005],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3179655,"threshold_uncertainty_score":0.9995334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369926574925956,"score_gpt":0.2511250062927886,"score_spread":0.2374257405435291,"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."}}