{"id":"W4407597161","doi":"10.1016/j.algal.2025.103966","title":"Enhancing astaxanthin production in Schizochytrium sp.: Insights from orthogonal experiments and transcriptome analysis","year":2025,"lang":"en","type":"article","venue":"Algal Research","topic":"Algal biology and biofuel production","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Chinese Academy of Agricultural Sciences; National Natural Science Foundation of China","keywords":"Astaxanthin; Transcriptome; Production (economics); Chemistry; Computational biology; Biology; Food science; Biochemistry; Gene; Gene expression; Carotenoid","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":[0.0003220233,0.0005888792,0.0003750569,0.0003089601,0.0003348987,0.000540792,0.0001187796,0.0002484399,0.0006651937],"category_scores_gemma":[0.0002034126,0.0001695211,0.0004165342,0.0005003575,0.0003200965,0.0004332078,0.0006368212,0.0007241002,0.0002490705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000371939,"about_ca_system_score_gemma":0.0004319406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00082539,"about_ca_topic_score_gemma":0.001924573,"domain_scores_codex":[0.9998134,0.00002343211,0.00002034419,0.00005296686,0.00005038887,0.0000394589],"domain_scores_gemma":[0.9998333,0.0000446284,0.00003336041,0.00002710807,0.00003148408,0.00003003934],"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":[0.00006229298,0.000008104444,0.00009921505,0.00001549573,0.000001675566,0.000009174171,0.00001094422,0.00002522922,0.9992982,0.00003001856,0.000008585048,0.0004310496],"study_design_scores_gemma":[0.00002147942,0.0002724059,0.009819496,0.000007016821,0.00004373759,0.0000955655,0.0001238683,0.000998818,0.9860342,0.0001880104,0.00238172,0.0000136828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891443,0.0005657991,0.006053957,0.000187867,0.00005773347,0.00006280699,0.001855071,0.00009050481,0.001981865],"genre_scores_gemma":[0.9834672,0.0008022067,0.008753295,0.0001527646,0.00001545545,0.00007428159,0.003323498,0.00006726557,0.003343992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00082539,"threshold_uncertainty_score":0.0026986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03895436462839621,"score_gpt":0.3488945952955119,"score_spread":0.3099402306671157,"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."}}