{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009270678,0.0001251133,0.000128122,0.0002735117,0.0001220143,0.00003282619,0.0002116378,0.0001187846,0.00002246806],"category_scores_gemma":[0.0006833034,0.0001183554,0.00008984737,0.0006764888,0.00005117915,0.000003780113,0.0001893334,0.0001340972,0.00006590197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002322049,"about_ca_system_score_gemma":0.00006659075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001188739,"about_ca_topic_score_gemma":0.00001790194,"domain_scores_codex":[0.9986636,0.0000420881,0.0001485514,0.0003854205,0.0001974011,0.0005629152],"domain_scores_gemma":[0.9993475,0.00001925844,0.00001807915,0.0003293109,0.0001787732,0.0001070679],"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":[0.00006369329,0.00002323289,0.0001475722,0.0000623265,0.00003395438,0.00000207207,0.00001595156,0.0001240438,0.9656977,0.00007144372,0.01998349,0.01377452],"study_design_scores_gemma":[0.0002892292,0.000150993,0.001850022,0.0000084387,0.000006526221,0.000006561613,0.00002140832,0.0005713414,0.7391286,0.00002978763,0.2577912,0.000145951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966159,0.000319307,0.0007950136,0.0008245648,0.0004326831,0.000443843,0.00005068089,0.000100701,0.0004172429],"genre_scores_gemma":[0.9909381,0.0004075913,0.0005572995,0.00001780535,0.00114657,0.0001763402,0.0001940707,0.00004631133,0.006515904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2378077,"threshold_uncertainty_score":0.4826391,"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."}}