{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006705303,0.0007020924,0.0006563496,0.00004541414,0.001005875,0.0005016733,0.001754962,0.0005946784,0.0005794095],"category_scores_gemma":[0.0002169743,0.0002762052,0.0003949211,0.001644122,0.0003561603,0.0006781756,0.0002461255,0.0005856035,0.002692908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001313168,"about_ca_system_score_gemma":0.00005293978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004042999,"about_ca_topic_score_gemma":0.0004727296,"domain_scores_codex":[0.9950094,0.0002245068,0.0007173414,0.001365277,0.00113364,0.001549791],"domain_scores_gemma":[0.9981184,0.0003083823,0.0003804623,0.000318536,0.0002011312,0.0006730705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002513595,0.002503024,0.1258299,0.00007403477,0.00013491,0.0007104232,0.002437573,0.000163192,0.1033574,0.0208556,0.4039713,0.3397112],"study_design_scores_gemma":[0.0003892944,0.001104893,0.8495541,0.000166873,0.00007513133,0.0001879474,0.00114159,0.000240543,0.003438794,0.003529599,0.1388487,0.001322553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531298,0.001262989,0.00001057446,0.0165262,0.001370151,0.0005627575,0.0001981801,0.0003319667,0.02660736],"genre_scores_gemma":[0.9760287,0.0005260539,0.0002041617,0.004193327,0.002046194,0.00001128506,0.0001353099,0.000003487516,0.01685148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7237241,"threshold_uncertainty_score":0.999969,"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."}}