{"id":"W3160470259","doi":"10.18280/ts.380220","title":"Fast Job Recognition and Sorting Based on Image Processing","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorting; Artificial intelligence; Computer science; Template matching; Matching (statistics); Wavelet; Pattern recognition (psychology); Image processing; Noise (video); Wavelet transform; Similarity (geometry); Computer vision; Image (mathematics); Algorithm; Mathematics","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":[0.0003132534,0.0004872397,0.0005591404,0.001117687,0.0003878446,0.0007735729,0.0008071443,0.0006795588,0.001694173],"category_scores_gemma":[0.0007383318,0.000263501,0.0003726291,0.0009852007,0.0004561754,0.00104596,0.0006204991,0.000414124,0.001212167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857873,"about_ca_system_score_gemma":0.0005981888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011295,"about_ca_topic_score_gemma":0.001224581,"domain_scores_codex":[0.9995302,0.00003520915,0.0000192686,0.00009297773,0.0002623544,0.00005990043],"domain_scores_gemma":[0.9996275,0.00009539984,0.00004492244,0.00006987047,0.0001329603,0.00002928955],"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":[0.0003386118,0.0001264507,0.001230527,0.0001528109,0.00001964427,0.0001646618,0.0001548106,0.01373898,0.2544058,0.004811898,0.002910582,0.7219452],"study_design_scores_gemma":[0.00004167485,0.0003849979,0.006673276,0.00002978015,0.00004153772,0.0006084988,0.0001501963,0.6868638,0.2851589,0.005958343,0.01399081,0.00009815831],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04205699,0.0003565564,0.9513102,0.00009673716,0.0001579621,0.00009170068,0.0000745936,0.001876647,0.003978486],"genre_scores_gemma":[0.3714655,0.0004283803,0.6192871,0.0001697815,0.0001097974,0.0001103209,0.0002804354,0.0001319928,0.008016673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001694173,"threshold_uncertainty_score":0.005667567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03017337439973183,"score_gpt":0.2487763122712787,"score_spread":0.2186029378715469,"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."}}