{"id":"W4205574731","doi":"10.1016/j.ic.2017.08.005","title":"Preface","year":2017,"lang":"en","type":"article","venue":"Information and Computation","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001062204,0.00003906646,0.00003604046,0.00004634737,0.0003346035,0.0004192228,0.00005701811,0.00001966324,0.00001137085],"category_scores_gemma":[0.00005069006,0.00003778647,0.000008162473,0.00001645268,0.00003044798,0.002744981,0.00002868333,0.00002833445,0.001513949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001246901,"about_ca_system_score_gemma":0.00001057354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002404092,"about_ca_topic_score_gemma":0.000003240828,"domain_scores_codex":[0.9996966,0.000007020619,0.0001151523,0.00003093114,0.00009676981,0.00005357004],"domain_scores_gemma":[0.9996198,0.000007556741,0.000180808,0.00009293432,0.00007039878,0.00002848393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004582799,0.00001541027,0.007640318,0.00004281603,0.00001437616,3.482324e-7,0.00410952,0.004140614,0.000173326,0.01899137,0.007846864,0.9569792],"study_design_scores_gemma":[0.001026468,0.00003248455,0.6095224,0.00001618005,0.000006711007,0.00001105014,0.0002499827,0.3363934,0.0003312411,0.003544749,0.0487207,0.0001446552],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8686088,0.00001015162,0.0561744,0.0004497682,0.0001683859,0.0001865043,0.00001084228,0.0001756947,0.07421548],"genre_scores_gemma":[0.9987466,0.000002088763,0.001040863,0.0001143067,0.00001349434,0.0000036078,0.00003530123,0.000002784247,0.00004091154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9568346,"threshold_uncertainty_score":0.9992635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071341823739041,"score_gpt":0.2965942795056569,"score_spread":0.2758808612682665,"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."}}