{"id":"W3110421902","doi":"10.5539/ijsp.v10n1p1","title":"On the Classification of Colored Textures From a Texture-Ranking Experiment: Observers Ability of Discrimination Quantification","year":2020,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contrast (vision); Colored; Mathematics; Artificial intelligence; Luminance; Pattern recognition (psychology); Texture (cosmology); Ranking (information retrieval); Sorting; Psychophysics; Computer vision; Computer science; Psychology; Perception; Algorithm; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.005331087,0.0003653626,0.0002916927,0.0006517345,0.0002013888,0.0006320589,0.0002572158,0.0004956172,0.002034059],"category_scores_gemma":[0.03085206,0.0001333852,0.0002963564,0.0002077016,0.0005682836,0.001072096,0.0005947545,0.0003665274,0.0003107811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576876,"about_ca_system_score_gemma":0.0001965575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055216,"about_ca_topic_score_gemma":0.0007753678,"domain_scores_codex":[0.998206,0.0008357182,0.0001030543,0.0004541607,0.0003037412,0.00009726528],"domain_scores_gemma":[0.9824322,0.01291748,0.001160404,0.001805902,0.001320718,0.000363326],"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":[0.004977531,0.0005354558,0.247062,0.0004721633,0.0003058691,0.0002022274,0.005181881,0.01254551,0.4517123,0.01238953,0.0009377224,0.2636778],"study_design_scores_gemma":[0.0001087562,0.001610962,0.7994764,0.00006358013,0.0001535447,0.0004421551,0.001177248,0.1265095,0.06020653,0.008423975,0.001651547,0.0001758654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334414,0.0001076479,0.06285968,0.00004482507,0.00001669955,0.00007128408,0.00009969746,0.0001272039,0.003231629],"genre_scores_gemma":[0.9921935,0.00002861468,0.007396575,0.00001356377,0.000004267714,0.00002586317,0.00007956197,0.00001326086,0.0002448765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005331087,"threshold_uncertainty_score":0.02819383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05095005733861366,"score_gpt":0.3081688621770788,"score_spread":0.2572188048384651,"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."}}