{"id":"W2921700639","doi":"10.1007/978-3-319-40335-9_9","title":"Correction to: Semi-Solid Metal (SSM) Technologies","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Nanoporous metals and alloys","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Materials 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002465302,0.0003770625,0.0005816657,0.0002016494,0.00008127632,0.0001025735,0.0004623007,0.0003561364,0.005694197],"category_scores_gemma":[0.00007848795,0.0002925995,0.0001765174,0.00004263309,0.00008713434,0.0001126918,0.0003262526,0.0002630066,0.01462994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007594712,"about_ca_system_score_gemma":0.00009862696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003992504,"about_ca_topic_score_gemma":0.00005436319,"domain_scores_codex":[0.9982994,0.000009562274,0.0003681839,0.0006261368,0.0003696323,0.0003270978],"domain_scores_gemma":[0.9989348,0.00007039273,0.0001944093,0.0006410375,0.000101674,0.00005765978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002104267,0.00002174896,0.000001780323,0.00003997281,0.00004441926,0.00002583352,0.00003494532,0.00003538428,0.8388029,0.05304895,0.09822464,0.009698385],"study_design_scores_gemma":[0.00009881699,0.0002047809,0.000001790178,0.0001334785,0.00006253208,0.00004344067,0.00006643054,0.00001472528,0.4548364,0.004439084,0.5395636,0.0005348788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002927817,0.0003771834,0.0006128945,0.0001922983,0.01009154,0.0005280174,0.00003613331,0.001162515,0.9840716],"genre_scores_gemma":[0.02207221,0.0001327656,0.001000522,0.0001668111,0.0001524907,0.00001187721,0.00001531752,0.00006335991,0.9763846],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.441339,"threshold_uncertainty_score":0.9999526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015066873933292,"score_gpt":0.2418629152924861,"score_spread":0.2267960413591941,"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."}}