{"id":"W2102847611","doi":"10.1007/s00254-007-1107-x","title":"Spatial variability of soil available Zn and Cu in paddy rice fields of China","year":2007,"lang":"en","type":"article","venue":"Environmental Geology","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"China; Paddy field; Environmental science; Agronomy; Geography; Soil science; Biology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001025831,0.0001455391,0.0002523668,0.00004099677,0.00004361478,0.0000015423,0.0001423633,0.0001894732,0.007396095],"category_scores_gemma":[0.00003611327,0.0001505569,0.0000462846,0.00008328968,0.0009808618,0.000115586,0.0003135811,0.0001808603,0.0001529578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230736,"about_ca_system_score_gemma":0.000003242743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005500455,"about_ca_topic_score_gemma":0.001185471,"domain_scores_codex":[0.9985324,0.0001609996,0.0004621434,0.0003391246,0.0002078671,0.0002974457],"domain_scores_gemma":[0.9993165,0.0001787617,0.0001617327,0.0002665814,3.686329e-7,0.00007602903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009957214,0.0004097582,0.936873,0.00002088671,0.00000763133,0.00000514381,0.0006828547,0.0004013748,0.05791143,0.00008319662,0.00007079756,0.003434339],"study_design_scores_gemma":[0.0005402379,0.0002152068,0.981582,0.000004765258,0.00001020313,0.00001089661,0.0001140555,0.0003207753,0.01551928,0.000958594,0.0005882766,0.0001356877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876809,0.00006833573,0.001493987,0.00009573658,0.00007569364,0.0001759276,0.00001676643,0.000006149359,0.01038649],"genre_scores_gemma":[0.9986503,0.0001120577,0.000579342,0.0001163523,0.00001633394,0.000004248013,0.00001394684,0.000007786105,0.0004996724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.044709,"threshold_uncertainty_score":0.9935113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00596036413234114,"score_gpt":0.2044071747646057,"score_spread":0.1984468106322645,"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."}}