{"id":"W4381512310","doi":"10.1098/rsos.230423","title":"The genome of the reef-building glass sponge <i>Aphrocallistes vastus</i> provides insights into silica biomineralization","year":2023,"lang":"en","type":"article","venue":"Royal Society Open Science","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Leibniz-Rechenzentrum; European Commission; Ludwig-Maximilians-Universität München; Natural Sciences and Engineering Research Council of Canada; Leibniz-Gemeinschaft; GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel; H2020 Marie Skłodowska-Curie Actions; Bundesministerium für Bildung und Forschung","keywords":"Sponge; Biomineralization; Reef; Genome; Biology; Geology; Ecology; Paleontology; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009910887,0.0001120158,0.0001016183,0.0000133393,0.0009388638,0.0001801315,0.00190441,0.00006240449,0.000003270474],"category_scores_gemma":[0.000365459,0.00006116835,0.0001026738,0.0009650523,0.000706856,0.00001934663,0.002286935,0.00008206304,0.000002964354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002688218,"about_ca_system_score_gemma":0.0001928024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002186123,"about_ca_topic_score_gemma":0.0001060727,"domain_scores_codex":[0.9987369,0.00004812056,0.000190706,0.0004373739,0.0003213843,0.0002654759],"domain_scores_gemma":[0.9990422,0.00003164764,0.0001252549,0.0005440987,0.0002027335,0.00005412878],"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":[0.0000147464,0.00001331224,0.001169167,0.00001819923,0.00001341858,1.488944e-7,0.0002684886,0.0002475917,0.992081,0.0009005997,0.003450336,0.001823012],"study_design_scores_gemma":[0.0004783863,0.0002116947,0.08636582,0.00003670776,0.0000228248,0.000002516335,0.0005697061,0.01090853,0.577584,0.001146682,0.3222847,0.0003884088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958349,0.0005602677,0.00006848072,0.002047464,0.0002279402,0.0004656993,0.000003321737,0.00001262839,0.0007793368],"genre_scores_gemma":[0.9949455,0.0003064172,0.0004997617,0.000299052,0.0001167069,0.00001731522,0.00001273141,0.000009275234,0.003793296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.414497,"threshold_uncertainty_score":0.7221076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017658952617136,"score_gpt":0.2717517073417016,"score_spread":0.2615751178155302,"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."}}