{"id":"W2604345908","doi":"10.1007/s11244-017-0737-9","title":"The More, The Better: Simultaneous In Situ Reaction Monitoring Provides Rapid Mechanistic and Kinetic Insight","year":2017,"lang":"en","type":"article","venue":"Topics in Catalysis","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Computer science; Biochemical engineering; Process (computing); Mechanism (biology); Biological system; Nanotechnology; Chemistry; Materials science; Engineering; Physics","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":[0.00009390981,0.00008387989,0.00008946352,0.00005490295,0.0002337551,0.0001181777,0.0001684572,0.00004749823,0.000001305958],"category_scores_gemma":[0.0001516228,0.00005399155,0.0000234948,0.00007366091,0.00004554072,0.00005310904,0.00004513374,0.000161465,0.000001163927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003962437,"about_ca_system_score_gemma":0.000004307291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002365977,"about_ca_topic_score_gemma":0.0006682659,"domain_scores_codex":[0.9995408,0.00001631978,0.0001284338,0.0001091378,0.0000854705,0.0001198472],"domain_scores_gemma":[0.9994237,0.0000967212,0.00003083823,0.0004199348,0.00001237783,0.00001640479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001725827,0.00001845861,0.005535188,0.00008005829,0.00009784273,0.00009912433,0.001541995,0.007396975,0.09501447,0.0007343062,0.00003971164,0.8894246],"study_design_scores_gemma":[0.001969321,0.0001368208,0.3682442,0.0002890172,0.0004490704,0.0001100413,0.001390902,0.1193927,0.3345832,0.01410045,0.1579263,0.001407937],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966178,0.00125247,0.0003144861,0.0004155806,0.0004017237,0.0001400649,0.000001033002,0.00002622398,0.000830648],"genre_scores_gemma":[0.9990796,0.0005295679,0.0001546999,0.000009962719,0.0001179055,0.00002120207,0.000002330307,0.000009670942,0.00007509154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8880167,"threshold_uncertainty_score":0.2201712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00837594576070088,"score_gpt":0.2261288709082065,"score_spread":0.2177529251475057,"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."}}