{"id":"W4390453007","doi":"10.1016/j.algal.2023.103379","title":"Bioengineering Phaeodactylum tricornutum, a marine diatom, for cannabinoid biosynthesis","year":2023,"lang":"en","type":"article","venue":"Algal Research","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Natural Environment Research Council; Sight Research UK","keywords":"Phaeodactylum tricornutum; Diatom; Biology; Biochemistry; Roseobacter; Thalassiosira pseudonana; Chemistry; Botany; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000168051,0.0004841393,0.0001921062,0.0003051411,0.0003224402,0.0004724195,0.0001822246,0.0002729178,0.000346422],"category_scores_gemma":[0.0001918702,0.0001527035,0.0002586372,0.0005496298,0.0001528775,0.0003012254,0.0003657849,0.0004341812,0.000193811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006179266,"about_ca_system_score_gemma":0.0005891366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003596988,"about_ca_topic_score_gemma":0.01063457,"domain_scores_codex":[0.9998647,0.00001819101,0.00001501555,0.0000234309,0.00005030675,0.00002838098],"domain_scores_gemma":[0.9999297,0.00001114923,0.00001548358,0.00001297587,0.00001408494,0.00001667694],"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":[0.00001877415,0.000009673899,0.0001482898,0.00003051744,0.00000318959,0.00003770693,0.000009653937,0.0001068097,0.9976326,0.0000863406,0.00001715455,0.00189926],"study_design_scores_gemma":[0.000007068728,0.00007868597,0.001419439,0.000009836895,0.00001963654,0.0001190186,0.00005158477,0.0006692646,0.9947448,0.0000862812,0.002790381,0.000003956245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722168,0.002979968,0.01748093,0.0004499613,0.00008800652,0.0001105865,0.0008578685,0.00007277637,0.005743077],"genre_scores_gemma":[0.9706153,0.002552305,0.0225018,0.00008325651,0.000007192553,0.00004542245,0.0009492405,0.00003006498,0.00321552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003596988,"threshold_uncertainty_score":0.007152081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04166237977391381,"score_gpt":0.339007666612326,"score_spread":0.2973452868384122,"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."}}