{"id":"W7116110007","doi":"10.82417/3xwx-a880","title":"Optimization of wet edge finishing of natural stones","year":2025,"lang":"en","type":"other","venue":"Espace ÉTS (ETS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Polishing; Enhanced Data Rates for GSM Evolution; Surface roughness; Surface finish; Process (computing); Machining; Cutting tool; Abrasion (mechanical); Process optimization","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002668317,0.0004045916,0.0007602616,0.0008626138,0.00003160088,0.00002977391,0.0004843055,0.0004574246,0.002672613],"category_scores_gemma":[0.0004827634,0.0004099878,0.0001815776,0.0007079465,0.0001573761,0.00008773174,0.000189776,0.0003688991,0.0003739321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008942815,"about_ca_system_score_gemma":0.0002581846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003868129,"about_ca_topic_score_gemma":0.0004464659,"domain_scores_codex":[0.9982117,0.0001621114,0.0003763475,0.0004496044,0.0005054148,0.0002947772],"domain_scores_gemma":[0.9979851,0.0001319833,0.0009333913,0.0007098397,0.0001834272,0.00005626524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001172133,0.0001323835,0.0003023922,0.0007413888,0.0003321537,0.000007850953,0.0005550375,0.01470225,0.001511298,0.001904946,0.9791416,0.0005514743],"study_design_scores_gemma":[0.002284786,0.0001070451,0.0008322793,0.005400871,0.0005471456,0.000007332079,0.0005126323,0.009300498,0.006086538,0.00005478423,0.9735379,0.001328252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004093778,0.005968537,0.001743735,0.0004192084,0.002154536,0.0009334914,0.001402961,0.0004405832,0.9865276],"genre_scores_gemma":[0.01727427,0.0001358683,0.01244844,0.00002913537,0.0002404442,0.00001420246,0.0002733466,0.0008964665,0.9686878],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01783974,"threshold_uncertainty_score":0.9998352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009146135276447663,"score_gpt":0.2604099097560856,"score_spread":0.251263774479638,"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."}}