{"id":"W2589360006","doi":"10.15376/biores.12.2.2635-2645","title":"Chemical Composition of Essential Oil and Hydrosol from Picea mariana Bark Residue","year":2017,"lang":"en","type":"article","venue":"BioResources","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Université Laval","keywords":"HYDROSOL; Residue (chemistry); Bark (sound); Chemical composition; Materials science; Composition (language); Pulp and paper industry; Composite material; Chemistry; Chemical engineering; Organic chemistry; Forestry; Engineering; Art; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006754189,0.0001247511,0.0001437383,0.00001228449,0.0001474385,0.00005252902,0.0002641306,0.0001993757,0.00001462995],"category_scores_gemma":[0.0000624723,0.0001134991,0.00005900353,0.00001132208,0.0002790101,0.000004034207,0.0001800222,0.00005000629,0.000002572731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002890776,"about_ca_system_score_gemma":0.00001450875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001227429,"about_ca_topic_score_gemma":0.00001529444,"domain_scores_codex":[0.9993116,0.00002294607,0.0001446902,0.000288344,0.00009881845,0.0001335624],"domain_scores_gemma":[0.9993551,0.00001750944,0.0001480595,0.0003840134,0.00002416658,0.00007112241],"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":[0.0001995623,0.00003684714,0.003305518,0.00002483575,0.00005042586,0.000004353762,0.0000157056,2.302731e-7,0.9936475,0.000004566733,0.0004182869,0.002292202],"study_design_scores_gemma":[0.0003129487,0.00002206,0.007273736,0.00004083912,0.0000386159,0.000008881158,0.00001541444,0.00001855399,0.9897722,0.00001289797,0.002339639,0.000144213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975019,0.00042744,0.00001031995,0.0001936786,0.00003892059,0.00001978227,0.0002491453,0.000007197679,0.001551688],"genre_scores_gemma":[0.9988039,0.000170144,0.0002374086,0.00003910351,0.0003529832,0.000002776151,0.0002388777,0.000008498915,0.0001462694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003968218,"threshold_uncertainty_score":0.4628358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006033162016745864,"score_gpt":0.2124894280743924,"score_spread":0.2064562660576466,"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."}}