{"id":"W1572440461","doi":"10.1023/a:1020516804173","title":"Characterization of rainbow trout cell lines using microsatellite DNA profiling","year":2001,"lang":"en","type":"article","venue":"Cytotechnology","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Vancouver Island University; University of Guelph","funders":"","keywords":"Rainbow trout; Biology; Microsatellite; Locus (genetics); Pacific herring; Cell culture; Genetics; Molecular biology; Fish <Actinopterygii>; Clupea; Herring; Fishery; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001025524,0.0002068404,0.0003228649,0.0002519351,0.0001192821,0.000009420618,0.0002893975,0.000502779,0.0001812365],"category_scores_gemma":[0.00002397078,0.0001928425,0.0001038326,0.0003238587,0.0002855983,0.00008721267,0.0001499041,0.000215488,0.0001756097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003215711,"about_ca_system_score_gemma":0.00003289074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001049237,"about_ca_topic_score_gemma":0.000002851589,"domain_scores_codex":[0.9988583,0.0000585595,0.0003617749,0.0003323128,0.00002113215,0.0003679601],"domain_scores_gemma":[0.9993095,0.00001518977,0.0002459688,0.0003304505,0.00008505493,0.00001383376],"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":[0.00009236602,0.0001155153,0.001473291,0.00004559569,0.00006456414,0.00001305296,0.0001088005,0.00000303155,0.9954973,0.0004592721,0.00007014006,0.002057046],"study_design_scores_gemma":[0.0008144975,0.00005893827,0.0003231236,0.00002525428,0.00007990317,0.00006732548,0.0001643446,0.00001573843,0.9577116,0.00008785599,0.0404614,0.0001900312],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945174,0.00118149,0.002761991,0.0001932627,0.0003524744,0.0003564496,0.00004462506,0.0001999021,0.0003923785],"genre_scores_gemma":[0.9947299,0.0002769445,0.0005910637,0.0001094769,0.00003647125,0.000009920726,0.0005924859,0.00002638941,0.003627373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04039126,"threshold_uncertainty_score":0.7863889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283628365213073,"score_gpt":0.2254421525036313,"score_spread":0.2126058688515005,"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."}}