{"id":"W2141981054","doi":"10.1016/j.visres.2006.01.010","title":"Texture properties affecting the accuracy of surface attitude judgements","year":2006,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Texture (cosmology); Perception; Artificial intelligence; Symmetry (geometry); Projection (relational algebra); Range (aeronautics); Homogeneous space; Skew; Illusion; Scale (ratio); Computer vision; Computer science; Psychology; Pattern recognition (psychology); Mathematics; Cognitive psychology; Geometry; Algorithm; Physics; Image (mathematics); Materials science","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":[0.001646157,0.00008393155,0.00009512145,0.00008760895,0.00062532,0.0001750648,0.0004463551,0.00005448536,0.0003310697],"category_scores_gemma":[0.001298558,0.00004758218,0.00003890041,0.0006509962,0.0002151147,0.0001729147,0.0002363578,0.0003575792,0.0002754468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002500183,"about_ca_system_score_gemma":0.00005578345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001240597,"about_ca_topic_score_gemma":0.00001274468,"domain_scores_codex":[0.9976072,0.0005759578,0.0001844967,0.0002894631,0.00102487,0.0003180311],"domain_scores_gemma":[0.9989378,0.0005158419,0.00006240319,0.0002766984,0.0001692962,0.00003794932],"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":[0.00003148949,0.0001021519,0.0001651309,0.00005187767,7.308223e-7,0.000001883802,0.000295844,0.0001407183,0.9874373,0.000511274,0.003783468,0.00747815],"study_design_scores_gemma":[0.0002520793,0.0002031225,0.002944926,0.0001237366,0.000001740144,0.000003800116,0.0003953379,0.003327023,0.9851272,0.001006154,0.006525356,0.00008953557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922926,0.00008711715,0.0002127452,0.001257646,0.0001070893,0.0003485474,0.000002461034,0.00004800401,0.005643791],"genre_scores_gemma":[0.9950026,0.00003003618,0.00008304301,0.0001496532,0.00006112539,0.000006609003,7.370388e-7,0.00001344826,0.004652697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007388615,"threshold_uncertainty_score":0.4809519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2146404468628241,"score_gpt":0.4588519088067974,"score_spread":0.2442114619439733,"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."}}