{"id":"W6960673376","doi":"10.1371/journal.pone.0254380.t001","title":"WorldView-3 satellite images (0.31 m resolution) taken in Nunavut, Canada in 2017 and 2019.","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Antioxidants, Aging, Portulaca oleracea","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Satellite; Satellite imagery; Earth observation satellite; Satellite tracking","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004994617,0.002100323,0.0015022,0.003525386,0.001676928,0.001629535,0.002846508,0.001288263,0.04338547],"category_scores_gemma":[0.002146358,0.000623001,0.001130074,0.009277761,0.0005689716,0.0008964463,0.001275944,0.00120725,0.03517888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005853739,"about_ca_system_score_gemma":0.01151826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8925876,"about_ca_topic_score_gemma":0.9598544,"domain_scores_codex":[0.999559,0.00002844789,0.00002692047,0.0001105761,0.0001488324,0.0001262396],"domain_scores_gemma":[0.9981223,0.000137311,0.00008781037,0.0001982827,0.001286627,0.0001677607],"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":[0.00004229254,0.000009960381,0.001150461,0.0003779406,0.00003373631,0.00002386761,0.00002814269,0.0002358238,0.0001145499,0.00020227,0.9956267,0.002154282],"study_design_scores_gemma":[0.0001367939,0.000007179818,0.02386964,0.0005512578,0.0000595763,0.00005034744,0.0003219777,0.000398833,0.0003996758,0.0007462531,0.973396,0.00006232508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001031384,0.00006915045,0.00003655497,0.00003861637,0.00002069686,0.000006727294,0.9987596,0.0001174313,0.0008481059],"genre_scores_gemma":[0.0006591125,0.0001164027,0.0003077326,0.00002953862,0.000006197953,0.00002504783,0.9976126,0.00005827763,0.001185075],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1074124,"threshold_uncertainty_score":0.2160899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114325365830439,"score_gpt":0.2681914488567972,"score_spread":0.2270481951984928,"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."}}