{"id":"W2306296774","doi":"10.1002/aic.15232","title":"Mathematical modeling of the full molecular weight distribution in ATRP techniques","year":2016,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Consejo Nacional de Ciencia y Tecnología; Indian Council of Agricultural Research","keywords":"Atom-transfer radical-polymerization; Radical; Work (physics); Molar mass distribution; Polymerization; Atom (system on chip); Chemistry; Electron transfer; Radical polymerization; Thermodynamics; Materials science; Polymer; Photochemistry; Computer science; Organic chemistry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002267072,0.00006108074,0.0001015793,0.00002179037,0.00001760149,0.00001004213,0.0001018783,0.00008141542,0.0001294742],"category_scores_gemma":[0.00002259982,0.00002917853,0.00005265564,0.0000542107,0.00001615852,0.00005159121,0.0000206422,0.0001222284,0.00001268081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004532886,"about_ca_system_score_gemma":0.000008788043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.201643e-7,"about_ca_topic_score_gemma":2.212516e-7,"domain_scores_codex":[0.9994811,0.00002417105,0.0002431224,0.00003771602,0.0000998059,0.0001140863],"domain_scores_gemma":[0.9998127,0.00001373257,0.00003354008,0.00009098666,0.00002359394,0.00002544498],"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":[0.00001536827,0.00002821628,0.00003012343,0.0001581527,0.00003509495,0.00001563025,0.00006084752,0.01426576,0.9825383,0.0008114634,0.0004390317,0.001601999],"study_design_scores_gemma":[0.0004589195,0.00004920068,0.00003188013,0.001033724,0.00003877573,0.0002509174,0.00001577947,0.07741952,0.8800314,0.03851318,0.001962527,0.0001941622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8673202,0.001427941,0.1240682,0.0004981845,0.000313292,0.0001260459,0.00001081048,0.00006900402,0.006166229],"genre_scores_gemma":[0.9985622,0.000560177,0.0007853729,0.000004090594,0.00004602623,0.000001614187,3.507927e-7,0.00001096831,0.00002925096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1312419,"threshold_uncertainty_score":0.1417652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004530246809750784,"score_gpt":0.18711120384458,"score_spread":0.1825809570348292,"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."}}