{"id":"W7125809591","doi":"10.17504/protocols.io.36wgq194ovk5/v1","title":"Gene of Interest with STOP codon v1","year":2025,"lang":"","type":"article","venue":"","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Open reading frame; Stop codon; Gene; Sequence (biology); Cloning (programming); Frame (networking); Product (mathematics); ENCODE","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":[0.001239222,0.003257343,0.003442745,0.001432824,0.00155573,0.001955537,0.003089809,0.003204265,0.1275902],"category_scores_gemma":[0.001433262,0.001883323,0.001904411,0.001700709,0.0007394708,0.001047944,0.001147021,0.004758139,0.1787771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371013,"about_ca_system_score_gemma":0.002213487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009557788,"about_ca_topic_score_gemma":0.001807932,"domain_scores_codex":[0.9975684,0.0002887358,0.0001804598,0.0009108052,0.0006462892,0.0004052801],"domain_scores_gemma":[0.9990126,0.000245658,0.00007318298,0.0002213415,0.000206727,0.0002403693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006060656,0.0003671865,0.0002897705,0.001347605,0.00009047889,0.0005180716,0.0001777149,0.000325132,0.8578274,0.007112878,0.102006,0.02933163],"study_design_scores_gemma":[0.000371457,0.0002664332,0.001219179,0.0002555259,0.0001116749,0.001202087,0.00006822879,0.0009195014,0.1746155,0.001117454,0.8197816,0.00007130826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.06846485,0.02865085,0.3081487,0.007596944,0.01636046,0.01009397,0.2273661,0.03354694,0.2997712],"genre_scores_gemma":[0.08595119,0.007390608,0.1226139,0.003512469,0.0006720307,0.0067756,0.3447792,0.006971121,0.421334],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1275902,"threshold_uncertainty_score":0.4268317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934173237389486,"score_gpt":0.2492449955670542,"score_spread":0.2299032631931593,"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."}}