{"id":"W3176386878","doi":"10.7717/peerj.11685","title":"Digital mapping of soil texture in ecoforest polygons in Quebec, Canada","year":2021,"lang":"en","type":"article","venue":"PeerJ","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts","funders":"Ministère des Forêts, de la Faune et des Parcs","keywords":"Soil texture; Digital soil mapping; Silt; Context (archaeology); Environmental science; Vegetation (pathology); Soil map; Physical geography; Soil science; Soil water; Hydrology (agriculture); Geography; Geology; Geomorphology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001497591,0.0002864668,0.0001781777,0.001548003,0.0008164331,0.0006788691,0.000533553,0.0001491131,0.001965157],"category_scores_gemma":[0.0006192969,0.0001166775,0.0002216804,0.002820775,0.0002874975,0.0001603316,0.0002899518,0.0001405711,0.0002687817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01051449,"about_ca_system_score_gemma":0.00736993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948643,"about_ca_topic_score_gemma":0.9974036,"domain_scores_codex":[0.9998339,0.00001032654,0.000006764068,0.00005337534,0.00005653766,0.00003909416],"domain_scores_gemma":[0.9995395,0.00004206627,0.00005079491,0.00002224161,0.0002921228,0.00005334263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002579515,0.00009527517,0.8337484,0.0001758591,0.000143993,0.0003473025,0.001201753,0.01395674,0.006331153,0.0007606956,0.009307177,0.1336737],"study_design_scores_gemma":[0.00001013014,0.000008106949,0.981316,0.00002731729,0.00001326874,0.00003833283,0.0004869566,0.01318577,0.0003920936,0.00003500438,0.004473298,0.00001367858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741445,0.0004297463,0.001665965,0.00008544156,0.000006831373,0.00008059521,0.01774839,0.0001693516,0.005669035],"genre_scores_gemma":[0.9874714,0.000193265,0.002706619,0.00002213964,0.000001865341,0.00003737182,0.007384091,0.0000166166,0.002166603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01051449,"threshold_uncertainty_score":0.07628828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150482143355507,"score_gpt":0.1797074924150552,"score_spread":0.1682026709815001,"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."}}