{"id":"W4398310685","doi":"10.7910/dvn/ohwwnr/c4rwro","title":"04 ZebraPhotopicLuminanceAdjusted-DSC039ZebraWoodlands_Sobel_thr0.3.png","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sobel operator; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005960572,0.003441344,0.00166351,0.00325112,0.0008890303,0.002569241,0.003699401,0.002468549,0.1493481],"category_scores_gemma":[0.003103043,0.0009729869,0.001923937,0.004416642,0.0005250761,0.001884077,0.0027499,0.001639655,0.2332534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134927,"about_ca_system_score_gemma":0.001880444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02872729,"about_ca_topic_score_gemma":0.0633717,"domain_scores_codex":[0.9993887,0.00006777799,0.00004978684,0.0002083262,0.0001398663,0.0001455726],"domain_scores_gemma":[0.9989823,0.0001864389,0.0001019231,0.0003372172,0.0002749729,0.0001172137],"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":[0.00005149839,0.00001275847,0.0005771255,0.0004994505,0.00002648444,0.00001374933,0.00001409544,0.0001784505,0.0001091293,0.0002218409,0.9967662,0.001529141],"study_design_scores_gemma":[0.0002948192,0.00001823108,0.003354758,0.0002452274,0.00003329316,0.00005398013,0.00006404879,0.0004311158,0.0005915032,0.001240442,0.9936339,0.00003863942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009807076,0.00005865418,0.00004422631,0.00003280235,0.00002280189,0.000005549605,0.9982316,0.0009549466,0.000551383],"genre_scores_gemma":[0.000362117,0.00005265056,0.0002037182,0.00003789183,0.000007409502,0.00003175079,0.9982685,0.000220954,0.0008150135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8506519,"threshold_uncertainty_score":0.4996191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084951519887345,"score_gpt":0.2058206469892515,"score_spread":0.194971131790378,"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."}}