{"id":"W4398509302","doi":"10.7910/dvn/ohwwnr/pum0fk","title":"10 HumanMesopic-DSC006ZebraGroupPlains_Sobel_thr0.15.png","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Libraries and Information Services","field":"Arts and Humanities","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":[0.0008314232,0.003619762,0.001990503,0.004972535,0.001487947,0.003671862,0.003759948,0.00274731,0.2282955],"category_scores_gemma":[0.003900369,0.001033925,0.001698038,0.005384343,0.0007220546,0.002026284,0.004373055,0.001854891,0.3212147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131306,"about_ca_system_score_gemma":0.002255448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01710269,"about_ca_topic_score_gemma":0.04725282,"domain_scores_codex":[0.9991115,0.000119948,0.00005792204,0.000293178,0.0002051154,0.0002124499],"domain_scores_gemma":[0.9987975,0.0002500881,0.0001145571,0.0003398802,0.0002460799,0.0002517721],"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":[0.00006142443,0.00001358542,0.000536732,0.0004715296,0.00002138144,0.00002220148,0.00002411935,0.00008770211,0.0001297209,0.0003447354,0.9967073,0.001579562],"study_design_scores_gemma":[0.0001807091,0.00001655373,0.002090471,0.0002192487,0.00002387856,0.00008484661,0.00009052933,0.0002133508,0.0004164465,0.0009892749,0.9956501,0.00002457052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002009811,0.0001503946,0.00007724392,0.00006754254,0.00004518292,0.00001137112,0.9967988,0.001149031,0.001499528],"genre_scores_gemma":[0.0003621923,0.00006785367,0.0002016727,0.00006358385,0.00001142536,0.00004384896,0.9976395,0.0002382905,0.001371514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7717044,"threshold_uncertainty_score":0.7637247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363774963593734,"score_gpt":0.2090040658661697,"score_spread":0.1853663162302324,"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."}}