{"id":"W3150171717","doi":"","title":"Effects of temperature and carbon source on growth and docosahexaenoic acid accumulation of Crypthecodinium cohnii","year":2013,"lang":"en","type":"article","venue":"Zhongguo youliao zuowu xuebao","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Docosahexaenoic acid; Yield (engineering); Biomass (ecology); Fermentation; Carbon source; Carbon fibers; Biology; Food science; Botany; Biochemistry; Fatty acid; Agronomy; Polyunsaturated fatty acid; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001173253,0.0005801257,0.0003658083,0.0002189946,0.000273581,0.0003139416,0.0002487072,0.0002073939,0.0005698856],"category_scores_gemma":[0.0002125829,0.0001769893,0.0002263042,0.000282568,0.0001796204,0.0003010666,0.0002928966,0.0004440177,0.0001334149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006195354,"about_ca_system_score_gemma":0.0004561146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008855831,"about_ca_topic_score_gemma":0.0138571,"domain_scores_codex":[0.9998727,0.00001455566,0.00001324811,0.00003209192,0.00003221614,0.00003519731],"domain_scores_gemma":[0.9998825,0.00002368473,0.0000200506,0.000008999669,0.0000322468,0.00003247917],"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":[0.0001945024,0.00002264997,0.0007226219,0.00004592609,0.000005367873,0.0000444677,0.00002952651,0.00008274797,0.9976888,0.0000203599,0.00002748378,0.001115625],"study_design_scores_gemma":[0.00001923548,0.0004306247,0.03589012,0.00002153873,0.00003623532,0.00008504486,0.0001692502,0.001089426,0.960742,0.00005364659,0.001436439,0.00002659719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965989,0.001015251,0.0003830539,0.00007928116,0.0000338114,0.00001966775,0.0005060646,0.00001497897,0.001348867],"genre_scores_gemma":[0.9956252,0.0007758714,0.001002999,0.00005300028,0.00001006135,0.00004051927,0.0008340692,0.00001610544,0.001642159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008855831,"threshold_uncertainty_score":0.01760852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00815555966764549,"score_gpt":0.203885642096343,"score_spread":0.1957300824286975,"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."}}