{"id":"W4392093232","doi":"10.1016/j.wasman.2024.02.028","title":"Smart-sight: Video-based waste characterization for RDF-3 production","year":2024,"lang":"en","type":"article","venue":"Waste Management","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Municipal solid waste; Cleaner production; Workflow; Process (computing); Computer science; Sorting; Food waste; Engineering; Waste management; Artificial intelligence; Database","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":[0.0001510008,0.0001439846,0.00009649145,0.0001703606,0.0001625138,0.0002185883,0.0004159584,0.00002647277,0.000005954111],"category_scores_gemma":[0.000005579395,0.0001378425,0.00006385573,0.0006598282,0.0000191835,0.0004851031,0.0001568701,0.00006186336,0.00008132186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007616422,"about_ca_system_score_gemma":0.00001071581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.582985e-7,"about_ca_topic_score_gemma":0.000001217625,"domain_scores_codex":[0.9987011,0.00002169219,0.0002179414,0.0006194997,0.0001967814,0.000242986],"domain_scores_gemma":[0.9992102,0.00003016443,0.00006182532,0.0006058097,0.00004296932,0.00004900618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000265422,0.0001379273,0.000009990301,0.0007423817,0.00008894104,0.00001735421,0.0002947206,0.02721318,0.03582004,0.368203,0.008044045,0.5594019],"study_design_scores_gemma":[0.0001783028,0.00005356202,0.00007505545,0.0001030668,0.00002956426,0.00000206209,0.00002377217,0.640148,0.01228944,0.003251062,0.3436244,0.0002216845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00479951,0.00004734712,0.9837161,0.007667199,0.001257029,0.001263653,0.000005296664,0.0005499983,0.0006938379],"genre_scores_gemma":[0.8809774,0.00007671599,0.1041841,0.00117822,0.0009765704,0.001786808,0.0001859873,0.00007065204,0.01056363],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8795321,"threshold_uncertainty_score":0.5621053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707936642045824,"score_gpt":0.24993020127657,"score_spread":0.2328508348561117,"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."}}