{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002216798,0.0005460879,0.0006314431,0.0003664875,0.000320089,0.0001644006,0.001396382,0.0004257775,0.1150526],"category_scores_gemma":[0.0005704224,0.000425219,0.0003352591,0.0004234164,0.0003419409,0.0004288385,0.0005765255,0.0005093043,0.2991984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001237144,"about_ca_system_score_gemma":0.00014555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001176137,"about_ca_topic_score_gemma":0.00007318403,"domain_scores_codex":[0.9966606,0.0002370321,0.0005468684,0.001176514,0.0007320162,0.0006469607],"domain_scores_gemma":[0.9969461,0.00007711837,0.0003891758,0.002231929,0.00005543828,0.0003002694],"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":[0.00002475094,0.0001061477,0.000006313561,0.00004708008,0.000007720958,0.0002261129,0.00001747179,5.213082e-7,0.00258745,0.00005537016,0.9954805,0.001440523],"study_design_scores_gemma":[0.0006613897,0.00005005873,0.00001720291,0.0001797568,0.0001235583,0.00009186828,0.00003366739,0.00001717912,0.0009368104,0.00005197607,0.9972566,0.000579873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003283306,0.000001659561,0.00009757246,0.00004369132,0.0007390034,0.0002502471,0.9975121,0.0001405151,0.0008868902],"genre_scores_gemma":[0.0004752516,0.002681067,0.00004127133,0.002755118,0.0005004845,0.00005011712,0.9866176,0.00004552793,0.006833512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1841457,"threshold_uncertainty_score":0.9998199,"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."}}