{"id":"W2283410256","doi":"10.1080/19440049.2010.506795","title":"Introduction","year":2011,"lang":"en","type":"article","venue":"Food Additives & Contaminants Part A","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Computer science","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":[0.0002873793,0.0003027004,0.0003295581,0.0001817833,0.000183676,0.00003038068,0.0002579828,0.00009988814,0.01365196],"category_scores_gemma":[0.0002391896,0.00029149,0.000117781,0.0003543483,0.0002470486,0.0005988681,0.0000918375,0.00020902,0.01770771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008678445,"about_ca_system_score_gemma":0.00005901332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002669781,"about_ca_topic_score_gemma":0.0001751358,"domain_scores_codex":[0.9979475,0.0001677097,0.0003547303,0.0006314404,0.0002923276,0.0006063643],"domain_scores_gemma":[0.9988552,0.00005134745,0.0002123596,0.0005383762,0.0001694536,0.0001732827],"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":[0.00156558,0.002118353,0.01359713,0.00006032351,0.0009533706,0.0001666454,0.01637127,6.596885e-7,0.02376549,0.0335663,0.8485412,0.05929369],"study_design_scores_gemma":[0.001062308,0.001455176,0.1782658,0.00006136376,0.00008595773,0.00006335408,0.001322772,0.00001130187,0.07476526,0.0004643539,0.7419058,0.0005365441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9337233,0.0002549372,0.0002017387,0.0001313186,0.002311939,0.0007512458,0.001724486,0.0007365617,0.06016445],"genre_scores_gemma":[0.993278,0.00001445577,0.0003348668,0.00006301906,0.001901444,0.0001478169,0.0001861489,0.0001030877,0.003971108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1646687,"threshold_uncertainty_score":0.9999537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03335039793067213,"score_gpt":0.2505213703210364,"score_spread":0.2171709723903643,"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."}}