{"id":"W2202576697","doi":"","title":"토양의 유효태 인산과 치환성 양이온의 다성분동시추출 분석방법 비교","year":2009,"lang":"ko","type":"article","venue":"한국토양비료학회지","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phosphate; Chemistry; Extraction (chemistry); Soil test; Soil water; Analytical Chemistry (journal); Chromatography; Soil science; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001459277,0.0004386147,0.0006173398,0.001068394,0.0005512749,0.0007369891,0.0005580795,0.0004680857,0.004739335],"category_scores_gemma":[0.001670854,0.0001983725,0.000289264,0.001369243,0.0005975221,0.0008562669,0.0005005851,0.0003171914,0.003556127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000378161,"about_ca_system_score_gemma":0.0006204153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722517,"about_ca_topic_score_gemma":0.006089023,"domain_scores_codex":[0.9975027,0.0004148855,0.0001220665,0.0002819458,0.001600772,0.00007752187],"domain_scores_gemma":[0.9978123,0.000419442,0.0005484315,0.0001951826,0.0009082502,0.000116276],"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":[0.0003513616,0.0002517635,0.07933616,0.001194535,0.0001495015,0.000398903,0.0002594145,0.0007204402,0.3850155,0.001614586,0.007156878,0.523551],"study_design_scores_gemma":[0.00003039077,0.00142618,0.3504633,0.0003052529,0.0001451174,0.001844968,0.001587536,0.003815061,0.457662,0.007051075,0.1754898,0.0001793163],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.669269,0.01541849,0.1808942,0.002174697,0.0005157162,0.001371221,0.005377937,0.002544594,0.1224341],"genre_scores_gemma":[0.7868226,0.008345734,0.1613536,0.0005262984,0.0001356968,0.0003851529,0.00296617,0.0001536961,0.03931099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004739335,"threshold_uncertainty_score":0.01585466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564157266820065,"score_gpt":0.2101998995190479,"score_spread":0.1945583268508472,"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."}}