{"id":"W2752665657","doi":"","title":"4‐メチル‐N‐(1‐フェニルエチル)‐N′‐(1‐フェニルエチリデン)ベンゼンスルホニルヒドラジドの結晶構造およびDFT研究:アセトフェノンp‐トルエンスルホニルヒドラゾンからのアセトフェノンアジン形成におけるカルベン挿入の証拠","year":2017,"lang":"ja","type":"article","venue":"Canadian Journal of Chemistry","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Chemistry; Stereochemistry; Computational chemistry; Medicinal chemistry","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":[0.0002154043,0.0002603135,0.0001972164,0.0003478961,0.001234117,0.0005443671,0.0008008693,0.0006974001,0.01684418],"category_scores_gemma":[0.0003420907,0.0002119292,0.0002082652,0.000296862,0.001037694,0.0009897023,0.0005472396,0.0008872646,0.004645132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077434,"about_ca_system_score_gemma":0.0008589227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005618597,"about_ca_topic_score_gemma":0.006536933,"domain_scores_codex":[0.999798,0.00002319859,0.000007927957,0.00006063802,0.00004999192,0.00006028359],"domain_scores_gemma":[0.9999036,0.00002067244,0.0000131573,0.00001923971,0.00002764282,0.00001580454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007107856,0.0002113077,0.0017884,0.0009549504,0.00004177097,0.001065699,0.00106042,0.004080136,0.477486,0.34483,0.02934957,0.1384211],"study_design_scores_gemma":[0.00004213314,0.0005390475,0.002730381,0.0001050031,0.00003848813,0.001283494,0.0009202263,0.005437318,0.4980745,0.04476336,0.4459315,0.0001346171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2541182,0.01160477,0.0480547,0.006447964,0.004584781,0.0001926759,0.0009679374,0.0005767707,0.6734522],"genre_scores_gemma":[0.8348738,0.004938393,0.0204426,0.001767673,0.0003156073,0.0001687378,0.0005479479,0.0001104822,0.1368348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01684418,"threshold_uncertainty_score":0.0563494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00894377523235808,"score_gpt":0.1968767349628755,"score_spread":0.1879329597305174,"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."}}