{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003681226,0.0002042495,0.0002213516,0.0003896529,0.0002785133,0.0005404112,0.0002379239,0.0002616651,0.001379923],"category_scores_gemma":[0.0004413476,0.000154912,0.0003771337,0.0003124323,0.0001980729,0.0002177374,0.0003248181,0.0005293372,0.0009043033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002551166,"about_ca_system_score_gemma":0.0002554732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002015034,"about_ca_topic_score_gemma":0.003532276,"domain_scores_codex":[0.9997728,0.00002879098,0.00003833644,0.00004833128,0.00007260402,0.000039049],"domain_scores_gemma":[0.9996269,0.0001064328,0.00005863246,0.00006737051,0.00009599482,0.00004463467],"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":[0.00008955913,0.00002323139,0.002678163,0.00001017176,0.000006169822,0.00003218957,0.00006421725,0.00006014757,0.9954466,0.0000825984,0.00004556356,0.001461268],"study_design_scores_gemma":[0.00005004438,0.0009017797,0.07510026,0.000008467361,0.00008668857,0.0004398225,0.0002209688,0.002244998,0.9150885,0.0001620715,0.005675517,0.00002092104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984068,0.0002499571,0.01210588,0.0001124765,0.00003301412,0.0001284333,0.001836861,0.0001060605,0.001359342],"genre_scores_gemma":[0.9694182,0.0004536814,0.0142605,0.0001529513,0.00001592935,0.0002914669,0.007703714,0.0000872663,0.007616214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002015034,"threshold_uncertainty_score":0.00461632,"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."}}