{"id":"W2799900362","doi":"","title":"Towards a Perceptual Image Quality Assessment Framework for Color Data","year":2017,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Perception; Image quality; Artificial intelligence; Computer science; Computer vision; Quality (philosophy); Image (mathematics); Psychology; Neuroscience; Epistemology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005845802,0.001572668,0.001120525,0.003660946,0.0004706061,0.004015551,0.002829089,0.001404372,0.002086369],"category_scores_gemma":[0.01066347,0.0005535049,0.001594526,0.002519129,0.001753391,0.00368435,0.003009505,0.002940723,0.000885127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121632,"about_ca_system_score_gemma":0.00129821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004185073,"about_ca_topic_score_gemma":0.002205032,"domain_scores_codex":[0.9963761,0.001158392,0.0003138821,0.0005421535,0.001458706,0.0001506638],"domain_scores_gemma":[0.9939047,0.001560926,0.0006313362,0.0007371804,0.002924926,0.0002408702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003723533,0.0003083749,0.003865487,0.001632823,0.0003263262,0.0005404308,0.001038521,0.1739728,0.05783935,0.2375112,0.008482756,0.5141097],"study_design_scores_gemma":[0.00002426325,0.0002495364,0.002180781,0.0002471187,0.00009038652,0.000336333,0.0002261087,0.8895858,0.007177661,0.08358201,0.01620471,0.00009519045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001884225,0.0009658355,0.995748,0.0001425472,0.00004406813,0.00008061527,0.00006885205,0.0001948453,0.0008710981],"genre_scores_gemma":[0.1260223,0.003801454,0.8663171,0.0002538699,0.000337742,0.0004634399,0.0004988089,0.0001878681,0.002117415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005845802,"threshold_uncertainty_score":0.03091592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06365971964431168,"score_gpt":0.3998935601157347,"score_spread":0.336233840471423,"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."}}