{"id":"W4398717539","doi":"10.7910/dvn/ohwwnr/xw2pq0","title":"04 LionPhotopicLuminanceAdjusted-DSC039ZebraWoodlands_Sobel_thr0.15.png","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sobel operator; Computer science; Artificial intelligence; Image processing; Image (mathematics)","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":[0.0007551059,0.004783033,0.001907157,0.0031159,0.000928998,0.003339283,0.004727914,0.002829185,0.1748559],"category_scores_gemma":[0.003529717,0.001040302,0.002494125,0.003254161,0.0006252525,0.001875433,0.003185848,0.001800542,0.276135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466221,"about_ca_system_score_gemma":0.001675051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01548107,"about_ca_topic_score_gemma":0.04352507,"domain_scores_codex":[0.9993197,0.00007601001,0.0000461728,0.0002422334,0.0001688124,0.0001470279],"domain_scores_gemma":[0.9991348,0.000172755,0.00007144921,0.0003136677,0.0001939326,0.000113391],"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":[0.00007251552,0.000017681,0.000431241,0.0006869941,0.00003701855,0.00002069688,0.00001521835,0.0002172173,0.000196375,0.0003478077,0.9949201,0.003037224],"study_design_scores_gemma":[0.0003545158,0.0000251245,0.002339288,0.0002899681,0.00004631285,0.0001039107,0.00005551254,0.000839277,0.001030558,0.002874869,0.9919918,0.00004892754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002069796,0.0001763628,0.0001896515,0.00006884325,0.00004615042,0.00001489487,0.9937928,0.003943699,0.001560603],"genre_scores_gemma":[0.0006597741,0.0001022191,0.000621551,0.00007251299,0.00001227851,0.00007082141,0.9961596,0.0006558908,0.001645395],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8251441,"threshold_uncertainty_score":0.5849514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779476768103823,"score_gpt":0.2662185856018403,"score_spread":0.2384238179208021,"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."}}