{"id":"W4398682020","doi":"10.7910/dvn/ohwwnr/x0b9ge","title":"10 ZebraMesopic-DSC006ZebraGroupPlains.out_Sobel_thr0.15.png","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"ZEBRA (computer); Sobel operator; Predation; Zoology; Biology; Art; Computer science; Artificial intelligence; Paleontology; Operating system","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":[0.0004686887,0.003043742,0.001620301,0.003771771,0.001060748,0.002557877,0.003017101,0.002155649,0.1339442],"category_scores_gemma":[0.002400295,0.001073173,0.001353008,0.00457626,0.0005065993,0.001773109,0.002997806,0.001562241,0.209966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049135,"about_ca_system_score_gemma":0.001527935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01821838,"about_ca_topic_score_gemma":0.04616483,"domain_scores_codex":[0.9994102,0.00006161215,0.00004145832,0.0002124441,0.0001434475,0.0001308403],"domain_scores_gemma":[0.9993209,0.0001193402,0.00007492207,0.0002009492,0.0001648241,0.0001190132],"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":[0.00007860299,0.00001585738,0.0008200913,0.0006988585,0.00003549543,0.00002574673,0.00002933806,0.000195532,0.000338085,0.000428771,0.9950728,0.002260895],"study_design_scores_gemma":[0.0001556632,0.0000112336,0.002694051,0.0001633005,0.00002295093,0.00004959302,0.00006807176,0.0002585888,0.0005027724,0.0007738272,0.995275,0.00002484353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001948095,0.00008473924,0.00006511965,0.00003209402,0.00001903318,0.000007062832,0.9972325,0.001468549,0.0008961018],"genre_scores_gemma":[0.000355312,0.00004352275,0.0001906591,0.00002643809,0.000003606124,0.00002330774,0.9985078,0.0002183492,0.0006309348],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8660558,"threshold_uncertainty_score":0.4480879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009667115779854862,"score_gpt":0.2231367828758522,"score_spread":0.2134696670959974,"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."}}