{"id":"W2961712819","doi":"10.1016/j.still.2019.06.002","title":"Development of the “mini 3D soil profile” – A visual method derived from the “profil cultural”","year":2019,"lang":"en","type":"article","venue":"Soil and Tillage Research","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"European Regional Development Fund; Région Hauts-de-France; European Commission","keywords":"Subsoil; Topsoil; Soil structure; Soil map; Environmental science; Soil test; Soil science; Agricultural engineering; Computer science; Soil water; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0008333022,0.0007055686,0.0002701624,0.001585156,0.0002585126,0.001181014,0.001038227,0.0005840028,0.007440389],"category_scores_gemma":[0.001648255,0.0005328041,0.0005042518,0.0006478723,0.0003430867,0.0008821683,0.001203097,0.0009975083,0.002236852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002514221,"about_ca_system_score_gemma":0.001221541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001851851,"about_ca_topic_score_gemma":0.004122183,"domain_scores_codex":[0.9993657,0.00007695817,0.00002918606,0.00008019107,0.0004039483,0.00004397194],"domain_scores_gemma":[0.998955,0.000195186,0.00006383185,0.0002010407,0.0005003933,0.00008449381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001167354,0.00006927634,0.003414387,0.0006138738,0.00006338279,0.0001293417,0.0004592924,0.008504458,0.4683903,0.01122933,0.008609029,0.4984006],"study_design_scores_gemma":[0.0000572592,0.0003096056,0.02239741,0.0002455356,0.0001036528,0.002667328,0.000398517,0.2302114,0.4985933,0.006552709,0.2380341,0.0004290719],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007829426,0.0001073084,0.9858079,0.00006967594,0.00007725247,0.0001104249,0.0006701114,0.001769907,0.003558148],"genre_scores_gemma":[0.06408442,0.0001855572,0.9304846,0.00006315709,0.0000225255,0.0002294345,0.00104605,0.0006170939,0.003267262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007440389,"threshold_uncertainty_score":0.0248906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0545791429967226,"score_gpt":0.3283464457845174,"score_spread":0.2737673027877948,"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."}}