{"id":"W2943445621","doi":"","title":"Physical Factors Affecting Land use in a Common Soil Type in Ontario1","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Land use; Soil type; Soil science; Ecology; Biology; Soil water","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002800351,0.0001096715,0.0001647449,0.00003990702,0.0001067318,0.00008794002,0.0001644015,0.00006411486,0.0003844145],"category_scores_gemma":[0.00006795852,0.00005001315,0.00006271851,0.0008104542,0.0001307609,0.0003128561,0.00009944871,0.0001250729,0.0002184366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831545,"about_ca_system_score_gemma":0.000006679768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006903083,"about_ca_topic_score_gemma":0.3282711,"domain_scores_codex":[0.9988866,0.00007581971,0.0001299302,0.0003856577,0.0002572168,0.0002647175],"domain_scores_gemma":[0.9995794,0.0001228919,0.00003501805,0.0001873144,0.000007303405,0.00006802459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005564682,0.0001220946,0.9734049,0.000001703916,0.000002099751,0.000004817126,0.002122462,0.0003361374,0.02244022,0.000002970491,0.0008028294,0.000754122],"study_design_scores_gemma":[0.0001859481,0.00001493829,0.9953233,0.00001968013,0.000005904049,8.266052e-7,0.0004201889,0.0000815142,0.002673185,0.0001561568,0.0009970159,0.0001213694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991455,0.000007562895,0.000001811131,0.0001217034,0.0001578133,0.00007785528,0.000006145491,0.00001871693,0.0004628697],"genre_scores_gemma":[0.9973655,7.647811e-7,0.00001229019,0.00001328896,0.00001948258,0.000002431745,0.0000129914,0.000002899458,0.002570379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.321368,"threshold_uncertainty_score":0.99971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146072689808614,"score_gpt":0.2076395261628795,"score_spread":0.1961787992647934,"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."}}