{"id":"W7115705281","doi":"10.5683/sp3/ql7k32","title":"A Bacteroides synthetic biology toolkit to build an in vivo malabsorption biosensor","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of British Columbia","funders":"","keywords":"Synthetic biology; Bacteroides; Bacteroides thetaiotaomicron; Biosensor; Bioreporter; Modular design; Gut flora","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":[0.002100462,0.001980156,0.001251812,0.00170986,0.0007560552,0.001777116,0.00314548,0.001219121,0.0320158],"category_scores_gemma":[0.003425534,0.001356634,0.001890783,0.001458592,0.0003125118,0.001672648,0.002896804,0.001693303,0.03416245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009566716,"about_ca_system_score_gemma":0.001832798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003918267,"about_ca_topic_score_gemma":0.004748117,"domain_scores_codex":[0.9990335,0.00009982238,0.0001224366,0.0002437918,0.000409274,0.00009119597],"domain_scores_gemma":[0.998741,0.0003525412,0.0001198912,0.0003339779,0.000320627,0.0001320021],"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":[0.00224949,0.0005559248,0.01605218,0.00670163,0.0008338701,0.001672501,0.0007383046,0.05555492,0.1860558,0.01376176,0.5393654,0.1764582],"study_design_scores_gemma":[0.00035587,0.0002821178,0.005578422,0.0005848776,0.0002546608,0.0005988584,0.0001555591,0.06622683,0.07755677,0.00985628,0.838267,0.0002826448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01681683,0.001297374,0.2473457,0.00102382,0.0006890097,0.0008224281,0.3748099,0.3401605,0.01703451],"genre_scores_gemma":[0.0476777,0.002047782,0.3326098,0.000824213,0.00006181102,0.003000724,0.5657243,0.03546512,0.01258859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0320158,"threshold_uncertainty_score":0.1071035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676229167045579,"score_gpt":0.2952698936614206,"score_spread":0.2785076019909649,"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."}}