{"id":"W4200523749","doi":"10.1142/9789811239014_bmatter","title":"BACK 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":"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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0004170325,0.001420356,0.001556277,0.000605224,0.0004094951,0.001778709,0.0004987598,0.0009142624,0.1042867],"category_scores_gemma":[0.00004126411,0.001310024,0.0002922604,0.0004916183,0.0003393762,0.0006571272,0.0001813175,0.001002036,0.5194399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002654572,"about_ca_system_score_gemma":0.0002610237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008123182,"about_ca_topic_score_gemma":0.0001629302,"domain_scores_codex":[0.9942254,0.0005474069,0.001529515,0.001808792,0.0008459358,0.0010429],"domain_scores_gemma":[0.9965536,0.00008071193,0.001267896,0.0008460864,0.0008575399,0.0003941925],"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":[0.0002488185,0.0004947585,0.0006135916,0.02116836,0.0006124311,0.000171762,0.01171055,0.00001651785,0.0005235629,0.00000168813,0.900605,0.06383295],"study_design_scores_gemma":[0.0008739599,0.0005230859,0.00005609299,0.02429971,0.0003977441,0.001377119,0.02482738,0.0001512615,0.01148164,0.00001860984,0.932313,0.003680356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03036179,0.2203288,0.007432438,0.0003350819,0.01619844,0.004478503,0.01936278,0.0004578633,0.7010443],"genre_scores_gemma":[0.0362138,0.004426379,0.0001122019,0.002089469,0.004318688,0.0007155861,0.02741184,0.001011629,0.9237004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4151532,"threshold_uncertainty_score":0.9998546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03230856072463521,"score_gpt":0.2751679091143862,"score_spread":0.2428593483897509,"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."}}