{"id":"W4293101090","doi":"10.1557/s43577-022-00283-9","title":"Correction to: Metal oxide semiconductor thin-film transistor backplanes for displays and imaging","year":2022,"lang":"en","type":"article","venue":"MRS Bulletin","topic":"Thin-Film Transistor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"IGNIS Innovation (Canada)","funders":"","keywords":"Backplane; Materials science; Thin-film transistor; Optoelectronics; Semiconductor; Transistor; Oxide; Metal; Nanotechnology; Engineering physics; Electrical engineering; Engineering; Metallurgy; Layer (electronics)","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"],"consensus_categories":[],"category_scores_codex":[0.0001920781,0.0002180395,0.0002411472,0.0001618586,0.0002369723,0.00003428475,0.0002151359,0.00003656804,0.0002948281],"category_scores_gemma":[0.00006678831,0.0002452982,0.00008696793,0.0001390608,0.00004582177,0.00004849518,0.00004540053,0.0003150754,0.00002677392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000166089,"about_ca_system_score_gemma":0.00001013068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008997121,"about_ca_topic_score_gemma":0.0000471077,"domain_scores_codex":[0.9989622,0.00002647496,0.000220613,0.0003122785,0.0001578836,0.0003205149],"domain_scores_gemma":[0.9995182,0.0001462822,0.00002614705,0.0002227606,0.00001902541,0.00006759809],"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":[0.0001266298,0.00004997677,0.0005680496,0.0002055231,0.0001067084,0.00002686439,0.001799105,0.05291553,0.38436,0.0002607093,0.555921,0.003659972],"study_design_scores_gemma":[0.0006699925,0.00008583009,0.001096894,0.00002926486,0.00008794996,0.0001307628,0.001584846,0.01866187,0.03813723,0.00008004271,0.9388487,0.0005866131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765434,0.002652524,0.007978208,0.003102556,0.00500567,0.0008694993,0.000352817,0.002432985,0.001062342],"genre_scores_gemma":[0.993722,0.00001952795,0.004073091,0.0002168279,0.00005329981,0.0003313162,0.000037175,0.0000797133,0.001467014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3829277,"threshold_uncertainty_score":0.9999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006887637298340952,"score_gpt":0.1909928485053689,"score_spread":0.184105211207028,"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."}}