{"id":"W2964043747","doi":"10.1080/17513758.2017.1314025","title":"Mathematical modelling of CRISPR-Cas system effects on biofilm formation","year":2017,"lang":"en","type":"article","venue":"Journal of Biological Dynamics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CRISPR; Biofilm; Biology; Computational biology; Biological system; Biochemical engineering; Evolutionary biology; Genetics; Engineering; Bacteria; Gene","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":[0.0002832473,0.0001066651,0.0002331373,0.00003867712,0.00006831352,0.00002270245,0.0002523988,0.000169399,0.000001546672],"category_scores_gemma":[0.0001645066,0.00007223708,0.0001525365,0.0000167796,0.00004569442,0.000005547411,0.00005989382,0.0001135933,0.000002292302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002604251,"about_ca_system_score_gemma":0.00001176988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.92615e-7,"about_ca_topic_score_gemma":6.577483e-7,"domain_scores_codex":[0.9992748,0.00003012714,0.0003579831,0.00009252979,0.0001145748,0.0001299954],"domain_scores_gemma":[0.9992009,0.00003593846,0.0003600187,0.0002405021,0.00009868406,0.00006400152],"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":[0.0008511214,0.0003862623,0.003324807,0.0013593,0.0003195923,0.00008440953,0.0001344745,0.08959684,0.8607112,0.0168454,0.0002377103,0.02614885],"study_design_scores_gemma":[0.0009706669,0.00244698,0.003032947,0.0004383856,0.00005999035,0.0002702197,0.000160647,0.3784946,0.6126634,0.001024146,0.0001788369,0.0002591998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5413018,0.000107046,0.4579794,0.00003712327,0.0001225129,0.00005099617,0.00000502252,0.000002629579,0.0003935414],"genre_scores_gemma":[0.9944267,0.0001440965,0.00521572,0.00001491771,0.0001671417,0.000001318862,0.000007465393,0.000007357444,0.0000152858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4531249,"threshold_uncertainty_score":0.2945743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208555418723626,"score_gpt":0.2999744645221771,"score_spread":0.2778889103349409,"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."}}