{"id":"W3177635878","doi":"","title":"ペルシャンブルーで改質した感受性の高いインジウム・スズ酸化物電極についてのビスフェノール-Aの高性能電流測定検出法","year":2008,"lang":"ja","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Military Technology and Strategies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005949252,0.0002386828,0.0002467207,0.0005573778,0.001547489,0.002213944,0.0004010341,0.0009876507,0.01426113],"category_scores_gemma":[0.001417413,0.0002675529,0.0002597953,0.00037319,0.001556777,0.002239964,0.0004859982,0.0009493469,0.003661646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007101559,"about_ca_system_score_gemma":0.0008606123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001574326,"about_ca_topic_score_gemma":0.0009149131,"domain_scores_codex":[0.9995623,0.00004090631,0.00003108897,0.000132123,0.0001796042,0.00005397512],"domain_scores_gemma":[0.9992637,0.0001722131,0.00007254719,0.00006222594,0.0003461479,0.00008310329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006355636,0.0003162543,0.006655589,0.0006313776,0.00009609724,0.001435878,0.002677723,0.00175519,0.2899288,0.4917698,0.0110261,0.1930717],"study_design_scores_gemma":[0.00009835217,0.0007162432,0.01723717,0.0001587202,0.0001468339,0.003147995,0.005146952,0.006697464,0.4701283,0.2938364,0.2025215,0.0001639894],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.48175,0.008040445,0.07407499,0.004803626,0.002499675,0.0002389332,0.0005639179,0.000358775,0.4276697],"genre_scores_gemma":[0.9069872,0.002003457,0.01994077,0.0005644773,0.0002889067,0.00007970175,0.0002124695,0.00006289014,0.06986008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01426113,"threshold_uncertainty_score":0.04770821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602013584110457,"score_gpt":0.2266413684147595,"score_spread":0.210621232573655,"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."}}