{"id":"W3097750485","doi":"10.4236/ajps.2020.1110118","title":"Diatoms’ Breakthroughs in Biotechnology: &amp;lt;i&amp;gt;Phaeodactylum tricornutum&amp;lt;/i&amp;gt; as a Model for Producing High-Added Value Molecules","year":2020,"lang":"en","type":"article","venue":"American Journal of Plant Sciences","topic":"Algal biology and biofuel production","field":"Energy","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Phaeodactylum tricornutum; Nutraceutical; Diatom; Biology; Metabolic engineering; Biochemistry; Botany; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001458544,0.0004156646,0.0008917649,0.0005650367,0.0004156637,0.00008710044,0.001032181,0.0002365303,0.00005850684],"category_scores_gemma":[0.00165076,0.0003151259,0.0002350764,0.001909161,0.00177017,0.0005068693,0.0001433498,0.0005955478,0.00007643377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182874,"about_ca_system_score_gemma":0.0004213479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006595352,"about_ca_topic_score_gemma":0.0006864872,"domain_scores_codex":[0.9963846,0.0003008494,0.001006045,0.0009178368,0.0005787186,0.0008119315],"domain_scores_gemma":[0.9976519,0.0003133184,0.00123958,0.0003608482,0.0001857122,0.0002485988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003638612,0.000790006,0.004075225,0.0001393508,0.0005009558,0.00007540772,0.01065985,0.07591585,0.8180406,0.01378087,0.009932924,0.06245036],"study_design_scores_gemma":[0.01587852,0.02111766,0.0103949,0.001964358,0.002007183,0.00989725,0.007484442,0.05484337,0.1677205,0.1094278,0.5894443,0.009819687],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647784,0.00113574,0.01785126,0.01489879,0.0006045965,0.0003348479,0.000105679,0.0001143603,0.0001763804],"genre_scores_gemma":[0.9486688,0.0004786637,0.04876038,0.001220605,0.0006058802,0.00001986594,0.00005835499,0.00002835267,0.0001590626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6503201,"threshold_uncertainty_score":0.9999301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829824946828331,"score_gpt":0.270945179354567,"score_spread":0.2326469298862837,"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."}}