{"id":"W2749978444","doi":"10.1139/cjz-2017-0006","title":"Identification of distinct haemocyte populations from the freshwater bivalves swan mussel (<i>Anodonta</i> <i>cygnea</i>) and duck mussel (<i>Anodonta</i> <i>anatina</i>) using wheat-germ agglutinin","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Eidgenössisches Nuklearsicherheitsinspektorat","keywords":"Biology; Mussel; Flow cytometry; Unionidae; Wheat germ agglutinin; Staining; Lectin; Mollusca; Agglutinin; Bivalvia; Zoology; Molecular biology; Anatomy; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00009294913,0.0001636043,0.0001230711,0.0004223995,0.0001442194,0.000237869,0.000100854,0.0002001048,0.0003875628],"category_scores_gemma":[0.0001432577,0.00006712462,0.0001267169,0.0001640945,0.0001986049,0.0001551811,0.00026726,0.0001675393,0.0001125154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127248,"about_ca_system_score_gemma":0.0001068857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006228108,"about_ca_topic_score_gemma":0.001061425,"domain_scores_codex":[0.9999238,0.00000673371,0.00001034237,0.00003239455,0.0000134173,0.0000132349],"domain_scores_gemma":[0.9999073,0.00001847104,0.00002608856,0.000008813252,0.00002134793,0.0000180383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000489717,0.000007684352,0.005941114,0.00002269716,0.000003579777,0.00002495668,0.00005876637,0.00001500295,0.9922585,0.00001716668,0.000005815369,0.001595833],"study_design_scores_gemma":[0.00002255374,0.0007209301,0.5916021,0.00001934592,0.00005693842,0.001214092,0.000388287,0.001193413,0.4028149,0.0001355645,0.001813613,0.0000182415],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998626,0.0001217148,0.0008713476,0.00000833662,0.000002105481,0.00001099912,0.0000904511,0.000008932261,0.0002600793],"genre_scores_gemma":[0.9947241,0.0002162993,0.003826779,0.00003819865,0.000004701869,0.00004231388,0.0005166255,0.000006009551,0.0006248647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006228108,"threshold_uncertainty_score":0.001296461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203721603997935,"score_gpt":0.2569109142724184,"score_spread":0.2248736982324391,"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."}}