{"id":"W4391925251","doi":"10.3390/technologies12020027","title":"ARSIP: Automated Robotic System for Industrial Painting","year":2024,"lang":"en","type":"article","venue":"Technologies","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Mitacs","keywords":"Painting; Computer science; Engineering; Human–computer interaction; Visual arts; Art","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000331145,0.00009823414,0.0001301849,0.00007364881,0.0001355006,0.0001414819,0.0001944062,0.0001708372,0.00001715709],"category_scores_gemma":[0.0001830868,0.00006700605,0.0000512277,0.0002968836,0.00006006971,0.0001085224,0.00001189165,0.0001501235,0.0001672539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008116867,"about_ca_system_score_gemma":0.00002066108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001338732,"about_ca_topic_score_gemma":0.0001098446,"domain_scores_codex":[0.9993043,0.00002300177,0.0001381103,0.0001997137,0.00008706254,0.0002478102],"domain_scores_gemma":[0.9996315,0.0001947404,0.00002315496,0.0001183165,0.00001601309,0.0000162221],"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":[0.00002963736,0.00000835943,0.05742324,0.0005907995,0.0001007317,0.0001042684,0.0002472466,0.00312501,0.0004562293,0.002453282,0.04511328,0.8903479],"study_design_scores_gemma":[0.0003982133,0.0003541274,0.01023985,0.0008783873,0.00005970044,0.00008589607,0.01413581,0.9507231,0.002956587,0.001010763,0.01853988,0.0006176649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8831733,0.006132752,0.0008350899,0.001293366,0.002776426,0.0006120833,0.0001185343,0.1011617,0.003896719],"genre_scores_gemma":[0.9989061,0.000007614382,0.000809214,0.000005057243,0.00005950234,0.000005075188,0.00004430251,0.000003481693,0.0001596305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9475981,"threshold_uncertainty_score":0.2732427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05112157319539057,"score_gpt":0.242265850985059,"score_spread":0.1911442777896685,"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."}}