{"id":"W4240178925","doi":"10.2174/978160805052911101010iii","title":"Preface","year":2011,"lang":"en","type":"book-chapter","venue":"BENTHAM SCIENCE PUBLISHERS eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster 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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002570959,0.001075141,0.0007718913,0.002010875,0.0007513579,0.003290755,0.005067349,0.0006608013,0.004999468],"category_scores_gemma":[0.0002895158,0.001039221,0.0004006888,0.0002158995,0.006130736,0.003828249,0.001411338,0.001245921,0.01168142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007834,"about_ca_system_score_gemma":0.002699072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001333884,"about_ca_topic_score_gemma":0.00008778685,"domain_scores_codex":[0.9915631,0.00002981564,0.0008281653,0.002411579,0.003401092,0.001766276],"domain_scores_gemma":[0.9941914,0.00005504857,0.0009174626,0.002652428,0.001013374,0.00117028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006360963,0.00005636706,0.00006197182,0.00005516698,0.000117909,0.00007712771,0.001888456,0.000002392585,0.001793068,0.7037106,0.2611256,0.03104771],"study_design_scores_gemma":[0.0003689993,0.0001166308,0.0001292212,0.0001838734,0.000105051,0.00004588056,0.00005649269,0.00001092575,0.00105864,0.05047518,0.9460561,0.001393046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001716501,0.0001457137,0.00002186113,0.00005042625,0.002020024,0.001133298,0.000124827,0.0009261902,0.995406],"genre_scores_gemma":[0.01537467,0.000001670144,0.0006094734,0.0002425495,0.0002978579,0.00005977737,0.00003183963,0.0004213626,0.9829608],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6849304,"threshold_uncertainty_score":0.9992058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04893087678879936,"score_gpt":0.2457687729566831,"score_spread":0.1968378961678838,"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."}}