{"id":"W4399178918","doi":"10.18280/mmep.110514","title":"An Intelligent Detection Method for Conveyor Belt Deviation State Based on Machine Vision","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Belt Conveyor Systems Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conveyor belt; Machine vision; State (computer science); Belt conveyor; Computer vision; Artificial intelligence; Computer science; Engineering; Mechanical engineering; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007227318,0.000329151,0.0003127399,0.000294534,0.00005456468,0.0002035291,0.00009843208,0.0001343552,0.000006024743],"category_scores_gemma":[0.00002507633,0.0003085686,0.00008268242,0.0002054632,0.000009037311,0.0001825576,0.00001008482,0.0002804684,0.00001370593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059119,"about_ca_system_score_gemma":0.000007885638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007728753,"about_ca_topic_score_gemma":0.000001668095,"domain_scores_codex":[0.9986277,0.00001922333,0.0004483074,0.0003523922,0.0001939131,0.0003585139],"domain_scores_gemma":[0.9991783,0.0003552281,0.00001945971,0.0002460628,0.00003648811,0.0001644231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006167198,0.00001963188,3.495055e-7,0.003699129,0.0000368293,0.000001539977,0.0002670308,0.9687942,0.01080524,0.003059195,0.000004538736,0.01330613],"study_design_scores_gemma":[0.0001676437,0.0001599547,0.000001091676,0.000869484,0.0000348051,0.00001073426,0.000005361521,0.9844187,0.01004458,0.003215829,0.0007304923,0.0003412946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006183643,0.0006747358,0.9902795,0.00002524114,0.0004733024,0.0005667868,0.00001772121,0.001709593,0.00006945153],"genre_scores_gemma":[0.8741009,0.00003095718,0.1253592,0.000008242093,0.0000831419,0.0002209328,0.00002087146,0.0001516112,0.00002417284],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8679172,"threshold_uncertainty_score":0.9999366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179848175141764,"score_gpt":0.251931005702572,"score_spread":0.2339461881883956,"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."}}