{"id":"W2048647542","doi":"10.1145/2770879","title":"Where2Stand","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Intelligent Systems and Technology","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Photography; Set (abstract data type); Artificial intelligence; Construct (python library); Portrait; Computer vision; Visual arts; Art","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007107354,0.0009672113,0.0005853441,0.001253486,0.00206081,0.0042782,0.001252079,0.001808142,0.5516941],"category_scores_gemma":[0.002999354,0.0003279577,0.0005958831,0.0009785976,0.0005501235,0.004632259,0.002607365,0.001123878,0.3526933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008781696,"about_ca_system_score_gemma":0.001060997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009587386,"about_ca_topic_score_gemma":0.008951571,"domain_scores_codex":[0.9991271,0.00009139694,0.00005841756,0.0002749318,0.0002298054,0.0002184649],"domain_scores_gemma":[0.9993382,0.00008669384,0.00004558769,0.0001465705,0.0002738783,0.000109019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002954141,0.00009592494,0.002795313,0.0005038672,0.00002315332,0.0007014934,0.0008458302,0.0004261768,0.002912479,0.05877561,0.7499318,0.1826929],"study_design_scores_gemma":[0.00002040517,0.00001556494,0.0008039552,0.00008364501,0.000007092969,0.0002166212,0.0004393626,0.0003560226,0.0007320665,0.005972113,0.9913371,0.00001608924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008834847,0.0009228669,0.02053649,0.005095775,0.004440421,0.0006213225,0.02259826,0.008729682,0.9282204],"genre_scores_gemma":[0.07247768,0.001596574,0.01429648,0.003736309,0.000792169,0.000495614,0.03379755,0.004296743,0.8685109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5516941,"threshold_uncertainty_score":0.6394539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04655803020375763,"score_gpt":0.2875559595514385,"score_spread":0.2409979293476809,"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."}}