{"id":"W1992763415","doi":"10.1111/j.1095-8649.2008.01861.x","title":"A first generation Atlantic halibut <i>Hippoglossus hippoglossus </i>(L.) microarray: application to developmental studies","year":2008,"lang":"en","type":"article","venue":"Journal of Fish Biology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Marine Biosciences; Dalhousie University","funders":"","keywords":"Hippoglossus hippoglossus; Halibut; Biology; GenBank; Expressed sequence tag; Gene; Genetics; KEGG; Microarray; Gene expression profiling; Microarray analysis techniques; Gene expression; Computational biology; Transcriptome; Fishery","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":[0.0001792278,0.0005112367,0.000593304,0.0003759533,0.0004127261,0.000442119,0.000360829,0.0004163903,0.003105112],"category_scores_gemma":[0.0001294402,0.0002960999,0.0003596564,0.0003802991,0.0001711815,0.000238984,0.0002537975,0.0004834703,0.001501626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005704652,"about_ca_system_score_gemma":0.0003214859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002996743,"about_ca_topic_score_gemma":0.00714878,"domain_scores_codex":[0.9997845,0.00001602188,0.00001000094,0.00007809553,0.00006545425,0.00004594775],"domain_scores_gemma":[0.9999188,0.00001935796,0.00001306056,0.000008867725,0.00002194921,0.00001785619],"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":[0.00003299931,0.000006206474,0.00007899261,0.00003164868,0.00000165182,0.000009433097,0.000009048194,0.00002087134,0.9983689,0.00001473636,0.0001507197,0.001274857],"study_design_scores_gemma":[0.00002606807,0.0004325598,0.02461569,0.00001550293,0.00005467398,0.0003272387,0.00006820516,0.001997183,0.9487249,0.00007102435,0.0236396,0.00002755496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8193685,0.004281669,0.1241904,0.0009963708,0.000222775,0.001172506,0.02757389,0.004648194,0.01754566],"genre_scores_gemma":[0.6220061,0.005703995,0.2763866,0.001093912,0.0001432795,0.00267599,0.03901137,0.0006677539,0.05231111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003105112,"threshold_uncertainty_score":0.0103876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690261818665754,"score_gpt":0.291292383895694,"score_spread":0.2643897657090364,"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."}}