{"id":"W4398679485","doi":"10.7910/dvn/ohwwnr/t1pmoz","title":"10 HumanMesopic-DSC006ZebraGroupPlains_Sobel_thr0.3.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":"Sobel operator; ZEBRA (computer); Predation; Zoology; Cartography; Biology; Geography; Artificial intelligence; Computer science; Paleontology; Image processing; Image (mathematics); Operating system; Edge detection","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":[0.00051816,0.00278788,0.001507526,0.003509114,0.0009407842,0.002496482,0.002817458,0.002274489,0.1494038],"category_scores_gemma":[0.003230551,0.0008153528,0.001268977,0.004414672,0.0004832936,0.00152763,0.002979283,0.001287334,0.1914199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060432,"about_ca_system_score_gemma":0.001855137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026218,"about_ca_topic_score_gemma":0.04762083,"domain_scores_codex":[0.9994338,0.00007208379,0.00004523561,0.0001952765,0.0001321739,0.0001214519],"domain_scores_gemma":[0.999199,0.0001757851,0.0000876359,0.0002059339,0.0001807629,0.0001508319],"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":[0.00006298662,0.00001178991,0.0007244946,0.0005211028,0.00002407971,0.00002719001,0.00002374882,0.0001404068,0.0001212057,0.0003385275,0.9961072,0.001897337],"study_design_scores_gemma":[0.0001776165,0.00001478447,0.002789737,0.0002187846,0.00002602507,0.000084552,0.00008498961,0.0002908834,0.0003927932,0.00115126,0.9947435,0.00002494595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001550677,0.00009430417,0.00005752584,0.00005242505,0.00002247532,0.000007376274,0.9980143,0.0007409397,0.0008554739],"genre_scores_gemma":[0.0004329338,0.00006281099,0.0001747331,0.00005168662,0.000007832105,0.00003464977,0.9982318,0.0001517057,0.0008519389],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8505962,"threshold_uncertainty_score":0.4998053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110545839308002,"score_gpt":0.2261935221749394,"score_spread":0.2151389382441392,"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."}}