{"id":"W4398647459","doi":"10.7910/dvn/ohwwnr/ctkwhb","title":"10 HyenaMesopicLuminanceAdjusted-DSC006ZebraGroupPlains_Sobel_thr0.3.png","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sobel operator; Mathematics; Computer science; Artificial intelligence; Image processing","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":[0.0001870482,0.0006841659,0.0006825757,0.0002490448,0.0006735903,0.0002592884,0.001465584,0.0006552022,0.4930835],"category_scores_gemma":[0.0001445559,0.0005045796,0.0002577468,0.00004363949,0.0009404659,0.0006311323,0.0006482473,0.000720153,0.3965996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001264021,"about_ca_system_score_gemma":0.00009319605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003881223,"about_ca_topic_score_gemma":0.004540089,"domain_scores_codex":[0.9974015,0.00007405084,0.0005178284,0.0008308956,0.0004195442,0.000756121],"domain_scores_gemma":[0.9970698,0.00006653463,0.0004045091,0.002131717,0.0001662178,0.0001611914],"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":[0.00004757961,0.0001068353,5.80589e-7,0.0001339655,0.0001458005,0.0001333945,0.0003891678,6.979447e-8,0.00000298599,0.005321272,0.9922501,0.001468227],"study_design_scores_gemma":[0.0006226692,0.0001451323,0.000001439119,0.0002445418,0.0002311381,0.00002169667,0.0009387957,0.00000102083,0.00001128664,0.0003017492,0.9967351,0.0007454618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005983523,0.00002104662,0.000004474992,0.00005693065,0.001298768,0.0003681111,0.970022,0.0003489642,0.02787379],"genre_scores_gemma":[0.00001832296,0.0005717114,0.00001875059,0.0005495084,0.002430041,0.0000759884,0.8883979,0.00005251035,0.1078852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0964839,"threshold_uncertainty_score":0.9997406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875506091799046,"score_gpt":0.2175750011294639,"score_spread":0.1988199402114735,"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."}}