{"id":"W3157369369","doi":"10.11371/iieej.36.500","title":"Study on Measurement and Formulation of the Subjective Effect of 3D-Image's Physical Parameters","year":2007,"lang":"en","type":"article","venue":"Gazou Denshi Gakkaishi/Gazō Denshi Gakkaishi/Gazo Denshi Gakkaishi","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Computer science; Image (mathematics); Artificial intelligence; Computer vision; Computer graphics (images)","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":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.01038708,0.001958253,0.002659134,0.001138794,0.0007623486,0.0008076912,0.004362252,0.0007833587,0.0000326365],"category_scores_gemma":[0.005416738,0.001524948,0.001084151,0.002850943,0.001156232,0.001920442,0.001715097,0.002177287,0.00007246967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008335043,"about_ca_system_score_gemma":0.0003095805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002715222,"about_ca_topic_score_gemma":0.0004857841,"domain_scores_codex":[0.9837884,0.002196802,0.00294967,0.002779458,0.005878385,0.002407337],"domain_scores_gemma":[0.9875443,0.003387249,0.001991921,0.003951126,0.002291531,0.0008338785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006748799,0.008961985,0.6496269,0.001963539,0.003072403,0.0005988844,0.02076529,0.0001832303,0.2380188,0.02876645,0.0121476,0.02914611],"study_design_scores_gemma":[0.005243689,0.009931443,0.4779733,0.001198821,0.0008086708,0.0001493369,0.001012486,0.0009341802,0.4948527,0.005544178,0.0001988854,0.002152335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717876,0.0002344003,0.0108092,0.0006947974,0.001572687,0.005040363,0.00004099288,0.0007550481,0.009064867],"genre_scores_gemma":[0.9946693,0.00002796701,0.003913159,0.000401956,0.0004472141,0.0002506566,0.00001030268,0.0001947272,0.00008471867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2568339,"threshold_uncertainty_score":0.9993161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04270806652178064,"score_gpt":0.295528002676145,"score_spread":0.2528199361543644,"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."}}