{"id":"W3132698244","doi":"10.3390/s22103617","title":"SCD: A Stacked Carton Dataset for Detection and Segmentation","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Carton; Computer science; Classifier (UML); Artificial intelligence; Segmentation; Computer vision; Engineering","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":[0.0002246335,0.0000583928,0.00006107823,0.00009679129,0.0002445306,0.00005995593,0.0001244765,0.00001567028,0.00001799231],"category_scores_gemma":[0.00001871268,0.00006467133,0.00001775449,0.0001477141,0.00001493719,0.0001783183,0.0001169002,0.00006153652,0.000004087555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004806922,"about_ca_system_score_gemma":0.00001253762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003556357,"about_ca_topic_score_gemma":0.00001585123,"domain_scores_codex":[0.9993637,0.0000708756,0.00009992853,0.000220477,0.0001336547,0.0001113806],"domain_scores_gemma":[0.999668,0.00005177818,0.00004957346,0.0001693784,0.00002814366,0.00003312561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007310279,0.0001073954,0.0001142699,0.00006674709,0.00003640499,0.00001688524,0.002344162,0.0001457164,0.1424527,0.001859916,0.01466046,0.8381222],"study_design_scores_gemma":[0.001415088,0.00101221,0.0004817627,0.000009603141,0.00002706656,0.0001560079,0.001025588,0.1173121,0.7338681,0.01036941,0.1338263,0.0004967427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5650766,0.00003502102,0.4315285,0.000585255,0.0002644121,0.0008686285,0.001180551,0.0003637651,0.00009724525],"genre_scores_gemma":[0.9546794,0.0000104975,0.04385852,0.0004457553,0.00003536876,0.0003022054,0.0005376417,0.00001098283,0.0001195828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8376254,"threshold_uncertainty_score":0.263722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018622672787664,"score_gpt":0.2711889744878899,"score_spread":0.2525663017002259,"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."}}