{"id":"W2948400848","doi":"10.1167/19.6.2","title":"Shape from shading under inconsistent illumination","year":2019,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Shading; Photometric stereo; Computer vision; Surface (topology); Artificial intelligence; Computer science; Human visual system model; Scale (ratio); Sensory cue; Optics; Image (mathematics); Computer graphics (images); Mathematics; Physics; Geometry; Geography; Cartography","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":[0.0003779507,0.0002290996,0.0004284818,0.0003316531,0.0002366556,0.0007962289,0.0003337144,0.0005637017,0.001166329],"category_scores_gemma":[0.00404059,0.000265974,0.0003466726,0.0002462918,0.0008418069,0.0007515964,0.001038125,0.0007824289,0.0002923665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003656806,"about_ca_system_score_gemma":0.0002319397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008708863,"about_ca_topic_score_gemma":0.0005818282,"domain_scores_codex":[0.9995791,0.00006929925,0.00001756806,0.0000982558,0.0001770996,0.00005868425],"domain_scores_gemma":[0.9989381,0.0003105355,0.0001840285,0.0002901734,0.00017465,0.0001024568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001417473,0.00004375772,0.01327349,0.0001873523,0.0000855598,0.00108529,0.0007972917,0.03822953,0.8520837,0.01402527,0.001700878,0.07707043],"study_design_scores_gemma":[0.0002009297,0.0005907635,0.1859841,0.00007812105,0.0001164682,0.004193816,0.001014658,0.4777974,0.2206252,0.1041976,0.004999261,0.0002017071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511582,0.0002518289,0.04135429,0.0002920355,0.00006215667,0.00001406398,0.0001418195,0.0002154861,0.006510196],"genre_scores_gemma":[0.9943941,0.0001024894,0.004799513,0.00006091938,0.00001832798,0.000005240625,0.0001422468,0.00005967043,0.0004174755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001166329,"threshold_uncertainty_score":0.00390178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05437214807163288,"score_gpt":0.3428470209322467,"score_spread":0.2884748728606139,"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."}}