{"id":"W4295953377","doi":"10.4050/f-0078-2022-0048","title":"Paint Scheme and Markings Digital Transformation","year":2022,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Schedule; Scheme (mathematics); Computer science; Transformation (genetics); Digital transformation; Virtual reality; Projection (relational algebra); Computer graphics (images); Human–computer interaction; Multimedia; Engineering; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004075411,0.0002943175,0.0002013612,0.001188864,0.0007344598,0.00316726,0.0006864216,0.0008906615,0.01736381],"category_scores_gemma":[0.001794151,0.0001942291,0.0002935718,0.001348141,0.004803567,0.003622893,0.00176707,0.001275751,0.001993533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149062,"about_ca_system_score_gemma":0.0006597231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401929,"about_ca_topic_score_gemma":0.00114259,"domain_scores_codex":[0.9992391,0.0001090821,0.00003641979,0.0001034408,0.0004277492,0.00008421877],"domain_scores_gemma":[0.9995208,0.0001065468,0.00006036633,0.000159201,0.0001146047,0.0000384795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004992349,0.00001922073,0.0001306708,0.0001184386,0.000002584602,0.0001226329,0.0002884651,0.002801912,0.007502829,0.9091524,0.003597865,0.07621301],"study_design_scores_gemma":[0.00004207428,0.0002067032,0.001039173,0.0001715018,0.00001267345,0.001066123,0.0005749806,0.008326852,0.02246619,0.3505128,0.6155188,0.00006211721],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04667484,0.006468673,0.2099162,0.005382945,0.001572722,0.0001919197,0.0003113917,0.0009041277,0.7285773],"genre_scores_gemma":[0.7012289,0.007465858,0.09147605,0.001229754,0.0003613721,0.0001713219,0.0002426202,0.0002525628,0.1975716],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01736381,"threshold_uncertainty_score":0.05808777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003952241405202073,"score_gpt":0.1550282399958938,"score_spread":0.1510759985906917,"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."}}