{"id":"W3014815763","doi":"","title":"HS-SPME-GC-MS法分析5种蜡梅属植物叶片的挥发性成分","year":2017,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; 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":[0.0006822795,0.0008081983,0.0005674641,0.001214312,0.001177592,0.0007528634,0.0006918705,0.0007970898,0.008884787],"category_scores_gemma":[0.0006369624,0.0004289962,0.0007063322,0.0007590186,0.0007898739,0.001062266,0.0003870329,0.0009008225,0.003667242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007909419,"about_ca_system_score_gemma":0.001637518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005766802,"about_ca_topic_score_gemma":0.01290375,"domain_scores_codex":[0.9993337,0.00006711703,0.00003913655,0.0001896841,0.0002958598,0.000074355],"domain_scores_gemma":[0.999689,0.00006556857,0.00002240893,0.00002516483,0.0001708428,0.00002697408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000588073,0.0002153697,0.009612313,0.001207587,0.0003246485,0.0004845383,0.0004875415,0.001132511,0.8021259,0.005173496,0.002518067,0.1761301],"study_design_scores_gemma":[0.00003878314,0.0005546173,0.02628646,0.00008422845,0.00040145,0.0008251945,0.0004659782,0.004485279,0.9112586,0.003083096,0.05238172,0.0001345407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6165596,0.01523896,0.2127755,0.001183096,0.001726244,0.00158123,0.01027058,0.002994234,0.1376706],"genre_scores_gemma":[0.7500099,0.003844069,0.1977531,0.0009342273,0.0002061912,0.00057013,0.003215736,0.0002222032,0.04324438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008884787,"threshold_uncertainty_score":0.02972257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629731217030866,"score_gpt":0.2352533668884181,"score_spread":0.2189560547181094,"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."}}