{"id":"W2157398087","doi":"10.1590/s0073-47212007000400011","title":"Taxonomic redescription of the Portuguese man-of-war, Physalia physalis (Cnidaria, Hydrozoa, Siphonophorae, Cystonectae) from Brazil","year":2007,"lang":"en","type":"article","venue":"Iheringia Série Zoologia","topic":"Marine Invertebrate Physiology and Ecology","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministry of Environment; University of Alberta; Fundação de Amparo à Pesquisa do Estado de São Paulo; Yale University","keywords":"Hydrozoa; Physalis; Biology; Cnidaria; Hydroid (botany); Jellyfish; Portuguese; Zoology; Coelenterata; Taxonomy (biology); Ecology; Botany; Coral","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005106414,0.0002598976,0.0004785076,0.00008758533,0.0001170613,0.000007894329,0.0006239232,0.0002973131,0.003763612],"category_scores_gemma":[0.0001186948,0.0001983257,0.0001872285,0.0003229155,0.0004836842,0.0001889998,0.000095921,0.0003202332,0.0001726434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001677381,"about_ca_system_score_gemma":0.00008667031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02239157,"about_ca_topic_score_gemma":0.01014155,"domain_scores_codex":[0.9981229,0.0001367614,0.00064292,0.0004314104,0.0001773802,0.0004886506],"domain_scores_gemma":[0.9985195,0.0002619778,0.0004784942,0.0005781536,0.00006162194,0.0001002751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005530916,0.0001162996,0.911956,0.00005349316,0.0001736659,0.00003199025,0.0003491227,0.001588851,0.06456867,0.0002031871,0.004582646,0.01582302],"study_design_scores_gemma":[0.0003590991,0.0001949709,0.9766398,0.00001911599,0.00004013739,0.000008539848,0.0001305342,0.001177467,0.017638,0.002980793,0.000595245,0.0002162912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884627,0.0003845428,0.0001331187,0.0001079435,0.001887288,0.0002507858,0.0001051052,0.00006588573,0.008602586],"genre_scores_gemma":[0.9982561,0.00006215822,0.0007939768,0.0002803585,0.0001762198,0.000002603376,0.0001379584,0.00001057266,0.0002799923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06468385,"threshold_uncertainty_score":0.9971471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113191850011459,"score_gpt":0.2082413220629275,"score_spread":0.1971094035628129,"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."}}