{"id":"W4382395148","doi":"10.18280/ts.400324","title":"Enhanced Express Package Trademark Recognition via a Novel PTD-YOLO Algorithm","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trademark; Computer science; Algorithm; R package; Artificial intelligence; Pattern recognition (psychology); Computational science; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004030337,0.0006025746,0.0005873549,0.001070625,0.000300076,0.0009058685,0.001140077,0.0006955811,0.003025084],"category_scores_gemma":[0.0009383761,0.0002986359,0.0004502705,0.0005412924,0.0003616354,0.0008171413,0.000963826,0.0007290043,0.002111683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517626,"about_ca_system_score_gemma":0.0008173497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002174712,"about_ca_topic_score_gemma":0.003725179,"domain_scores_codex":[0.9996903,0.00002263364,0.00001913671,0.00009661904,0.0001183263,0.00005301037],"domain_scores_gemma":[0.9997004,0.00007847635,0.00004278836,0.0000439969,0.0001095745,0.00002483176],"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":[0.0005594032,0.0002263288,0.00256333,0.0001360356,0.00004442556,0.0002162371,0.0001156529,0.03203935,0.1734218,0.003397833,0.004707351,0.7825723],"study_design_scores_gemma":[0.00005827713,0.0002851783,0.002578052,0.00001993994,0.00004658304,0.0003335329,0.00006379546,0.911644,0.0755977,0.0008336966,0.008504792,0.00003436761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03398255,0.0002217459,0.9600716,0.0001216331,0.00006303655,0.00009758043,0.00008559108,0.002558567,0.002797733],"genre_scores_gemma":[0.2053528,0.0002790008,0.7825255,0.000321625,0.0000657772,0.0002008029,0.0008357402,0.0002325063,0.01018619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003025084,"threshold_uncertainty_score":0.01011992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256022563561812,"score_gpt":0.2161564099510498,"score_spread":0.1935961843154316,"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."}}