{"id":"W2038561646","doi":"10.1039/c3mb70402e","title":"Optimization of a genetically encoded biosensor for cyclin B1-cyclin dependent kinase 1","year":2013,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Centers for Disease Control and Prevention","keywords":"Biosensor; Kinase; Cyclin-dependent kinase 1; Biology; Cell biology; Biochemistry; Cell cycle; Cell","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002800526,0.0002483237,0.0003345525,0.0001288354,0.00004764849,0.00005230122,0.000316263,0.0002665881,0.00003807887],"category_scores_gemma":[0.0002045984,0.0002414328,0.000295228,0.0001569288,0.00007717859,0.00000595837,0.0001176916,0.00006019461,0.00001391455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002078757,"about_ca_system_score_gemma":0.00005088212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000118161,"about_ca_topic_score_gemma":0.00002104129,"domain_scores_codex":[0.9981695,0.0001328977,0.0006045616,0.0005479867,0.0002334483,0.0003115868],"domain_scores_gemma":[0.9984258,0.00001913275,0.0002545423,0.0007561594,0.0004251254,0.0001192665],"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":[0.00002925968,0.0001137099,0.0001634249,0.00007605599,0.0001194517,0.000004166721,0.00001083515,0.00140925,0.9963195,0.00004237699,0.0009786268,0.0007333411],"study_design_scores_gemma":[0.0005436514,0.0003046,0.00003179907,0.00002980739,0.00008068316,0.000009611242,0.00003723461,0.009478969,0.9879568,0.00004271365,0.001211598,0.0002725084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6253563,0.0007357314,0.3716048,0.000106688,0.00005052333,0.001346306,0.00002429624,0.000043481,0.0007319103],"genre_scores_gemma":[0.9597815,0.0000893801,0.03891235,0.0001773059,0.00009143856,0.0002691588,0.0002835185,0.00005699552,0.0003383467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3344252,"threshold_uncertainty_score":0.9845346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006007499991399431,"score_gpt":0.2437880494965242,"score_spread":0.2377805495051248,"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."}}