{"id":"W2406842056","doi":"10.1371/journal.pone.0155977","title":"Phylogenetic Diversity in the Macromolecular Composition of Microalgae","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Algal biology and biofuel production","field":"Energy","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"Gordon and Betty Moore Foundation","keywords":"Macromolecule; Phylogenetic diversity; Phylogenetic tree; Biology; Composition (language); Biogeochemistry; Macromolecular Substances; Ecology; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009659381,0.0002139493,0.0003313579,0.001500185,0.0007944173,0.0007694202,0.0002433461,0.0003833475,0.0008649485],"category_scores_gemma":[0.001924392,0.000275804,0.0003650913,0.0009442169,0.0004608628,0.0005499953,0.0008785684,0.0003900214,0.0003223037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002919635,"about_ca_system_score_gemma":0.0001984879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00121736,"about_ca_topic_score_gemma":0.002851805,"domain_scores_codex":[0.9993593,0.0001437179,0.00004464784,0.0002696806,0.0001233811,0.00005916186],"domain_scores_gemma":[0.9987398,0.0004406105,0.0003382342,0.0001654154,0.0002310337,0.00008504775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004276475,0.00003678395,0.5235065,0.000239434,0.0005585593,0.0001262782,0.001348325,0.003009397,0.422432,0.001607755,0.0001880146,0.04651936],"study_design_scores_gemma":[0.000006087259,0.0000756275,0.9826843,0.00002981458,0.0001134162,0.0002720159,0.0003722441,0.005727676,0.006653239,0.001731409,0.002304249,0.00002988341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884301,0.001406313,0.008047543,0.00005090583,0.000008078659,0.000008264949,0.0003524579,0.0000396184,0.001656727],"genre_scores_gemma":[0.9952265,0.0003312467,0.003607244,0.00004129942,0.00000838847,0.000008479947,0.0005462064,0.00001559833,0.0002149631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001500185,"threshold_uncertainty_score":0.005108416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188701208959577,"score_gpt":0.2031171300377787,"score_spread":0.1712301179481829,"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."}}