{"id":"W7025243928","doi":"","title":"TonB-protein interactions in nutrient uptake systems of «Escherichia coli»","year":2010,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nutrient; Bacteria; Mechanism (biology); Essential nutrient","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001708706,0.0002038894,0.000370865,0.0000928654,0.00003961843,0.00003349188,0.0004909335,0.00005402563,0.0001898777],"category_scores_gemma":[0.000007035519,0.0001996335,0.00003650097,0.0001420457,0.00005267658,0.00017822,0.0001600644,0.0002461245,1.147552e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007879908,"about_ca_system_score_gemma":0.001196554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0166603,"about_ca_topic_score_gemma":0.1366037,"domain_scores_codex":[0.9977567,0.00007151582,0.0003704478,0.000286353,0.001298681,0.0002162699],"domain_scores_gemma":[0.9990066,0.0001279897,0.0003407624,0.0003493716,0.000001045597,0.0001742154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002615674,0.0003913547,0.003319618,0.001652559,0.0004029011,0.000377253,0.0002404732,0.00001586854,0.0583722,0.7327273,0.1157829,0.08645595],"study_design_scores_gemma":[0.0003416344,0.00003721885,0.002321631,0.0008611227,0.00001147818,0.000009054445,0.0005367061,0.0021565,0.04365144,0.0004344984,0.9492794,0.0003592696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002240557,0.0002753618,0.001647895,0.001171262,0.0008092755,0.0003752785,0.0002819044,0.00002474157,0.9931737],"genre_scores_gemma":[0.2359813,0.0001600125,0.0187066,0.0004634915,0.0001465678,0.00006578418,0.00001259715,0.0001282453,0.7443354],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8334965,"threshold_uncertainty_score":0.9898878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005994261485787702,"score_gpt":0.1611646402899074,"score_spread":0.1551703788041197,"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."}}