{"id":"W6949904928","doi":"10.5281/zenodo.6109503","title":"Heteromeyenia Potts 1881","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sponge; Conical surface; Skeleton (computer programming); Smooth surface; Drainage network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008522857,0.0007840556,0.0003398095,0.001395209,0.0008663111,0.00039885,0.0004477311,0.0003845948,0.01093073],"category_scores_gemma":[0.0004116255,0.0002139981,0.0001683945,0.0007634861,0.0004097262,0.00181984,0.0008075171,0.0004608296,0.001629572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003393785,"about_ca_system_score_gemma":0.000225027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115456,"about_ca_topic_score_gemma":0.001584475,"domain_scores_codex":[0.9998434,0.0000143474,0.00001558136,0.00006374134,0.00004269689,0.00002024688],"domain_scores_gemma":[0.9998822,0.0000192748,0.00004991475,0.00001451726,0.00002201312,0.00001201084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005102071,0.0001263605,0.03098002,0.001485085,0.0001157384,0.004142079,0.002176976,0.001431872,0.03850977,0.00862882,0.03266367,0.8792295],"study_design_scores_gemma":[0.0001026398,0.0005455149,0.3274554,0.0008715101,0.0001947076,0.02725497,0.001327235,0.001370767,0.00482456,0.005210851,0.6307831,0.00005876847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5122977,0.03013585,0.01446032,0.00095787,0.001934051,0.0008067912,0.005550256,0.00105294,0.4328042],"genre_scores_gemma":[0.9742561,0.004985095,0.003286966,0.0003668978,0.000380635,0.0001536651,0.0013303,0.00004278788,0.01519755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01093073,"threshold_uncertainty_score":0.03656697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03546818678288109,"score_gpt":0.2516286710364349,"score_spread":0.2161604842535539,"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."}}