{"id":"W2162574169","doi":"10.1002/mren.200990005","title":"Macromol. React. Eng. 4/2009","year":2009,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Monte Carlo method; Cover (algebra); Computation; Copolymer; Statistical physics; Computer science; Polymer science; Chemistry; Algorithm; Physics; Mathematics; Engineering; Polymer; Organic chemistry; Mechanical engineering; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002310306,0.001006966,0.0004458638,0.001127387,0.0005574735,0.0005444361,0.0005969987,0.0006129994,0.2480101],"category_scores_gemma":[0.0003327245,0.0004770281,0.0004184963,0.0005330406,0.000136454,0.0007830801,0.0007899988,0.0007366072,0.2430239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004698732,"about_ca_system_score_gemma":0.0003203154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008503911,"about_ca_topic_score_gemma":0.002107618,"domain_scores_codex":[0.9998462,0.000008961121,0.000007138014,0.00002108497,0.00009272558,0.00002382408],"domain_scores_gemma":[0.999931,0.00001169128,0.000008668701,0.00001763078,0.00001789767,0.00001306944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003384385,0.0001930954,0.0003429881,0.0009719391,0.00003601225,0.0002719055,0.00005670858,0.002374417,0.1025512,0.008278116,0.2816843,0.6029009],"study_design_scores_gemma":[0.00003063651,0.00004922263,0.0003275554,0.00007250765,0.00001470127,0.0002239884,0.00001027898,0.001913546,0.05058539,0.001185375,0.9455746,0.00001221225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02102642,0.02719806,0.0684912,0.002528195,0.004969807,0.0009199911,0.01020878,0.007128455,0.857529],"genre_scores_gemma":[0.03082392,0.01374473,0.02340237,0.0004722496,0.0002418274,0.0003366988,0.005736947,0.0006785209,0.9245627],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.75199,"threshold_uncertainty_score":0.8296763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004088595185179473,"score_gpt":0.1959938581570708,"score_spread":0.1919052629718914,"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."}}