{"id":"W2176291332","doi":"10.22456/2175-2745.56437","title":"Hyperspectral Modeling of Material Appearance: General Framework, Challenges and Prospects","year":2015,"lang":"en","type":"article","venue":"Revista de Informática Teórica e Aplicada","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hyperspectral imaging; Computer science; Data science; Scope (computer science); Process (computing); Computer graphics; Domain (mathematical analysis); Visualization; Graphics; Management science; Artificial intelligence; Engineering","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":[0.000207507,0.0001353837,0.0002352783,0.00004217554,0.00006403621,0.00007922099,0.0002212042,0.00005151594,0.0000253038],"category_scores_gemma":[0.00002181498,0.000119759,0.00005489736,0.000159361,0.00009093096,0.0001715543,0.00009359424,0.0001381467,0.00001305935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003377016,"about_ca_system_score_gemma":0.000118356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006043561,"about_ca_topic_score_gemma":6.404813e-7,"domain_scores_codex":[0.999004,0.00001219044,0.0002765451,0.0002200262,0.0001858363,0.0003013914],"domain_scores_gemma":[0.9992982,0.00002221668,0.00009467485,0.0003082546,0.00008309903,0.0001935321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002440944,0.00006930031,0.0009843031,0.00004274748,0.00002278567,4.707115e-7,0.001009394,0.00032833,0.00104641,0.9721987,0.00009566212,0.0241775],"study_design_scores_gemma":[0.002823708,0.0008242789,0.00471925,0.0007260027,0.0002892989,0.00004865779,0.008941563,0.4329413,0.01009459,0.4633638,0.07282588,0.002401676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596733,0.001083194,0.01450361,0.0007973058,0.00003693702,0.0004214261,0.00002359674,0.00005227753,0.02340834],"genre_scores_gemma":[0.9911763,0.0001232009,0.008273201,0.00004421217,0.000254889,0.00006767541,0.000004489528,0.00001063864,0.00004540255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5088349,"threshold_uncertainty_score":0.4883632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841274419219456,"score_gpt":0.2730694408244196,"score_spread":0.244656696632225,"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."}}