{"id":"W2478833890","doi":"10.1016/j.tig.2016.06.005","title":"Genes in Hiding","year":2016,"lang":"en","type":"review","venue":"Trends in Genetics","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Biology; Gene; Genetics; Genome; Transcriptome; Computational biology; Genomics; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002624955,0.0006327623,0.0006417686,0.0007516515,0.0003575282,0.001741949,0.0006761785,0.001287505,0.005095122],"category_scores_gemma":[0.0006342775,0.000203275,0.0002203009,0.001208653,0.002353578,0.002104887,0.00100452,0.001928408,0.002353736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009682937,"about_ca_system_score_gemma":0.001005691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112956,"about_ca_topic_score_gemma":0.001769562,"domain_scores_codex":[0.999844,0.00002658489,0.00001460821,0.00004126803,0.00004794549,0.00002556213],"domain_scores_gemma":[0.9998882,0.00004540533,0.00001887818,0.00001040939,0.00002321779,0.00001389897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009978172,0.00003012295,0.0005535985,0.004804924,0.00004119424,0.0006340767,0.0003694035,0.0004139329,0.009243124,0.1248088,0.06163049,0.7973706],"study_design_scores_gemma":[0.000005996014,0.00001167848,0.0004211194,0.0009130989,0.00002731607,0.0008224064,0.000146912,0.0000554878,0.001615741,0.01452217,0.9814465,0.00001150239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001202191,0.9788669,0.001684871,0.003572026,0.002293933,0.000007985737,0.0001015187,0.00004635141,0.01222442],"genre_scores_gemma":[0.01322884,0.9675135,0.001337101,0.002441918,0.00106813,0.00001966635,0.0001918282,0.00002349058,0.01417545],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005095122,"threshold_uncertainty_score":0.0170449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05952766083787956,"score_gpt":0.3471872397795724,"score_spread":0.2876595789416928,"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."}}