{"id":"W2359124805","doi":"","title":"Study on Detecting Oil Content in Jatropha Curca Seed by Nuclear Magnetic Resonance Technique","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Jatropha; Nuclear magnetic resonance; Chemistry; Physics; Biodiesel","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":[0.00007577473,0.0001734183,0.0001006775,0.0002105586,0.0001693131,0.0001278915,0.0001124225,0.0001391232,0.0002743728],"category_scores_gemma":[0.0000937543,0.0000742828,0.0001314562,0.000165189,0.0001188535,0.0001417812,0.000054015,0.0001702864,0.00007180889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009033301,"about_ca_system_score_gemma":0.0001031822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00124001,"about_ca_topic_score_gemma":0.001509031,"domain_scores_codex":[0.999966,0.000005282207,0.000001796851,0.00001147496,0.000010436,0.000004969799],"domain_scores_gemma":[0.9999275,0.00002028467,0.00001527868,0.00000495565,0.00002014677,0.00001181959],"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":[0.00004577542,0.000007857278,0.0006099305,0.00001406077,0.000003285553,0.00003554266,0.000009922276,0.00001565475,0.9984534,0.00001801849,0.000006420757,0.0007799576],"study_design_scores_gemma":[0.00001014985,0.0002200523,0.02110714,0.000001965402,0.00004100157,0.0002913402,0.00005631987,0.001369459,0.9760965,0.00004924314,0.0007486673,0.000008195262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961755,0.0007297964,0.002247802,0.00004836901,0.000007829856,0.000005553035,0.00004094132,0.00001525481,0.0007289478],"genre_scores_gemma":[0.9966807,0.0004456679,0.001641926,0.00002199558,0.000007672525,0.000003772317,0.00005203373,0.000006036436,0.001140084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00124001,"threshold_uncertainty_score":0.002465606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187490781780682,"score_gpt":0.2633694499376766,"score_spread":0.2446203717596084,"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."}}