{"id":"W6950790821","doi":"10.5683/sp3/r8fdjb","title":"Image dataset of various soil types in an urban city","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Class (philosophy); Orientation (vector space); Image (mathematics); Urban environment; Estimation; Urban area; Soil water","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002003066,0.001835449,0.001109002,0.002819453,0.0006519234,0.0009244464,0.001552695,0.001175655,0.01567316],"category_scores_gemma":[0.0006517712,0.0003644757,0.001152037,0.00335341,0.0003616326,0.0005958402,0.001005133,0.0008924459,0.0176496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470778,"about_ca_system_score_gemma":0.001729635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1709777,"about_ca_topic_score_gemma":0.3925535,"domain_scores_codex":[0.9995505,0.00002256698,0.00002288038,0.000123054,0.0001441187,0.0001368588],"domain_scores_gemma":[0.9996181,0.00002251869,0.00001478128,0.00006609516,0.0002192654,0.00005927987],"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":[0.0004867481,0.0003699204,0.009103873,0.001582996,0.0002466973,0.0006785079,0.0001264353,0.00293627,0.009835306,0.0003377306,0.8834888,0.09080672],"study_design_scores_gemma":[0.0003692436,0.0003489792,0.2145197,0.001143879,0.0004094379,0.002591999,0.001939592,0.03524835,0.0228757,0.001138645,0.7191443,0.0002702312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03948623,0.001953386,0.003642084,0.0004719024,0.0004597823,0.0003963115,0.9319317,0.008221949,0.01343665],"genre_scores_gemma":[0.02713032,0.0006423866,0.005037529,0.0001898203,0.00004453012,0.0001335672,0.9620324,0.0002790441,0.004510404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1709777,"threshold_uncertainty_score":0.339965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116501978736971,"score_gpt":0.2490974535154899,"score_spread":0.2374472556417928,"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."}}