{"id":"W4398488331","doi":"10.7910/dvn/ohwwnr/xjkwtv","title":"02 HumanPhotopicLuminanceAdjusted-DSC012SolitaryZebraPlains_Sobel_thr0.15.png","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Color Science and Applications","field":"Physics and Astronomy","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":[0.0001642727,0.000399228,0.0003986823,0.0001512671,0.0003822022,0.0001144521,0.001256693,0.0001463225,0.08693197],"category_scores_gemma":[0.00001289493,0.0003356817,0.000203836,0.0002519716,0.000215604,0.0004355279,0.0005200413,0.0003497174,0.1110952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006502572,"about_ca_system_score_gemma":0.0001876154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008358541,"about_ca_topic_score_gemma":0.000113159,"domain_scores_codex":[0.9979209,0.00004234354,0.0003902803,0.0007363682,0.0003372453,0.0005728693],"domain_scores_gemma":[0.9974182,0.0000805458,0.000265247,0.001962441,0.00007529837,0.0001982167],"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":[0.000005352279,0.0001083879,0.00006336608,0.0000205536,0.00004671773,0.000007390488,0.00001631636,6.897236e-7,0.00004270134,0.002113384,0.9954664,0.002108744],"study_design_scores_gemma":[0.0003695087,0.00002724912,0.00006608989,0.00008919374,0.00008549776,0.000001994694,0.0001070864,0.000008321364,0.0001387624,0.0007859071,0.9978735,0.0004468898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000235687,0.000001543878,0.0002832912,0.00002243479,0.000451422,0.0004304203,0.9951781,0.00004730506,0.003349798],"genre_scores_gemma":[0.0007326351,0.00005256357,0.0001019104,0.0001946956,0.0009897801,0.0002082867,0.9953583,0.0000222233,0.002339562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0241632,"threshold_uncertainty_score":0.9999095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132497223867143,"score_gpt":0.2536529748582629,"score_spread":0.2404032524715486,"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."}}