{"id":"W4245836452","doi":"10.3410/f.5711956.8904054","title":"Faculty Opinions recommendation of A bacterial mRNA leader that employs different mechanisms to sense disparate intracellular signals.","year":2011,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia; University of Alberta","funders":"","keywords":"Sense (electronics); Intracellular; Messenger RNA; Computational biology; Chemistry; Cell biology; Computer science; Biology; Genetics; 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":[0.001104479,0.002639183,0.001800863,0.003388732,0.001054819,0.002796039,0.00266954,0.003152767,0.04698753],"category_scores_gemma":[0.006278461,0.0007909046,0.001762526,0.006131066,0.0003959651,0.00144692,0.001455374,0.002152857,0.06722277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466467,"about_ca_system_score_gemma":0.002980731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02813539,"about_ca_topic_score_gemma":0.05842801,"domain_scores_codex":[0.9985532,0.0001688888,0.0001475861,0.000504421,0.0004331878,0.0001926793],"domain_scores_gemma":[0.9970205,0.0007813812,0.0004372451,0.0007250258,0.0006306265,0.0004051026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002374253,0.00004309924,0.003107533,0.001358337,0.0001065215,0.00006146481,0.00002107419,0.0005518655,0.0004311057,0.0003620432,0.9900276,0.003691952],"study_design_scores_gemma":[0.0004178591,0.00003854018,0.01298053,0.0003932804,0.0001574978,0.0001574718,0.00006548563,0.001345818,0.001295856,0.001124982,0.981971,0.00005171356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002875906,0.0001072027,0.00007023977,0.00007335674,0.00002381443,0.000006725603,0.9984781,0.0003209924,0.0006320407],"genre_scores_gemma":[0.0005731876,0.00006278917,0.0002258422,0.00003946935,0.000004818496,0.00001795243,0.9985334,0.0000404026,0.0005022511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04698753,"threshold_uncertainty_score":0.157189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04121096601506977,"score_gpt":0.314244746890265,"score_spread":0.2730337808751952,"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."}}