{"id":"W2289737386","doi":"10.1016/j.tcs.2006.09.011","title":"Preface","year":2006,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mathematics; Computer science; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0003196343,0.00007933192,0.00005749792,0.00003238241,0.0001094303,0.00005711673,0.0004207322,0.00003172396,0.00003885206],"category_scores_gemma":[0.00001210794,0.0000669745,0.00002991189,0.0001710978,0.001150838,0.000003528281,0.0002770745,0.00003918852,0.00005598011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009250545,"about_ca_system_score_gemma":0.00003383726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002320523,"about_ca_topic_score_gemma":5.594235e-7,"domain_scores_codex":[0.999079,0.00002073917,0.00009065476,0.0003248581,0.0002132616,0.0002714393],"domain_scores_gemma":[0.9995434,0.000005991171,0.00001775866,0.0003042225,0.00006208427,0.00006658097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001337628,0.00008014745,0.0007342894,0.000005085195,0.000004734939,0.000003556217,0.00001931942,0.0003773211,0.424435,0.563682,0.0007518347,0.009893278],"study_design_scores_gemma":[0.0009771878,0.0009554908,0.02501459,0.00001661113,0.00001687315,0.0000717595,0.000009522772,0.03761131,0.8188776,0.0930397,0.02260627,0.0008030689],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6129356,0.00006737547,0.3729348,0.0001914565,0.0001842404,0.0001009177,0.000001515451,0.00002512185,0.0135589],"genre_scores_gemma":[0.9740733,0.000002570691,0.0253764,0.0001156693,0.000298317,0.00000301476,0.00000490834,0.00000608044,0.000119758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4706424,"threshold_uncertainty_score":0.424031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003825225736326931,"score_gpt":0.2179782099358132,"score_spread":0.2141529841994863,"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."}}