{"id":"W3113290063","doi":"10.3390/md18120641","title":"Ecological and Industrial Implications of Dynamic Seaweed-Associated Microbiota Interactions","year":2020,"lang":"en","type":"review","venue":"Marine Drugs","topic":"Marine Biology and Environmental Chemistry","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Français de Recherche pour l'Exploitation de la Mer; McGill University","keywords":"Biology; Abiotic component; Host (biology); Biofouling; Ecology; Algae; Holobiont; Microbiome; Quorum sensing; Niche; Metagenomics; Chemical ecology; Coevolution; Symbiosis; Bacteria; Biofilm; Gene; Bioinformatics; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004768825,0.0002436287,0.0007110504,0.0000414496,0.00003298663,0.000008230746,0.0001594355,0.0003706325,0.0003839231],"category_scores_gemma":[0.00003372963,0.0002243887,0.0001510469,0.0001334244,0.00007397438,0.00002023624,0.0003287205,0.0005667852,0.00002388975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831582,"about_ca_system_score_gemma":0.00002160398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002240831,"about_ca_topic_score_gemma":0.00003340942,"domain_scores_codex":[0.9992101,0.00003111491,0.0003634362,0.0002156488,0.00003073104,0.0001490134],"domain_scores_gemma":[0.9995374,0.0001172478,0.0001043695,0.000167546,0.000004652599,0.00006878774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002051946,0.00005392954,0.0002217207,0.001439112,0.0002730404,0.000002180165,0.00001324301,0.000002476626,0.00008390915,0.000009241908,0.0009180808,0.996981],"study_design_scores_gemma":[0.0001543058,0.00001658049,0.0008326857,0.000247244,0.0002839407,0.00002541873,0.000007002854,0.00006514381,0.000005166625,0.00002262709,0.9981191,0.0002207683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005225967,0.9546458,0.000008174979,0.0002093085,0.0005988674,0.0009010314,0.0009252859,0.0003975889,0.03708803],"genre_scores_gemma":[0.003673859,0.9937158,0.00004637104,0.00001100189,0.0000635475,0.00005599234,0.001398478,0.00003300594,0.001001901],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.997201,"threshold_uncertainty_score":0.9150307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866896298970402,"score_gpt":0.2526326390339101,"score_spread":0.2339636760442061,"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."}}