{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001430513,0.001248372,0.0008048211,0.003465544,0.00237784,0.003502297,0.001263775,0.001095306,0.4119368],"category_scores_gemma":[0.01645544,0.0003670989,0.0007830992,0.002784518,0.0009068521,0.003575952,0.001954391,0.003672268,0.2837722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002061693,"about_ca_system_score_gemma":0.002040472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003649621,"about_ca_topic_score_gemma":0.004298451,"domain_scores_codex":[0.9991521,0.0001669757,0.00005107122,0.0001560736,0.0004088771,0.00006484922],"domain_scores_gemma":[0.9934321,0.001610711,0.0001658855,0.0008377387,0.003339432,0.0006141215],"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":[0.00001875219,0.00001905006,0.00006265454,0.0001096472,0.000002984814,0.00002426839,0.00004072502,0.0001043003,0.0001005404,0.01691428,0.943755,0.03884773],"study_design_scores_gemma":[0.000005090245,0.00001010142,0.00017938,0.0001544765,0.000003758613,0.00004170792,0.00004974362,0.0001136807,0.0001893361,0.02327247,0.9759712,0.000008985918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001383314,0.01767849,0.05235649,0.0515355,0.2540634,0.0006245822,0.0178965,0.002748819,0.6017129],"genre_scores_gemma":[0.01267351,0.009247817,0.01305251,0.01044884,0.05513523,0.0004254336,0.01297703,0.002673672,0.8833659],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4119368,"threshold_uncertainty_score":0,"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."}}