{"id":"W1986069638","doi":"10.1021/ma101803h","title":"Detecting Structural Polydispersity in Branched Polybutadienes","year":2010,"lang":"en","type":"article","venue":"Macromolecules","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Dispersity; Branching (polymer chemistry); Size-exclusion chromatography; Chemistry; Polymerization; Polymer; Gel permeation chromatography; Monomer; Molar mass distribution; Chromatography; Polymer chemistry; Organic chemistry","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":[0.0001746709,0.0002244829,0.000114658,0.0005116062,0.000204961,0.0002744578,0.0001037557,0.0001847738,0.0004057542],"category_scores_gemma":[0.0004086794,0.0001367073,0.0001014976,0.0002587314,0.0002695185,0.0002320191,0.0001461947,0.0003306328,0.0001081382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002254735,"about_ca_system_score_gemma":0.0001535923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004809909,"about_ca_topic_score_gemma":0.0009225119,"domain_scores_codex":[0.9998692,0.00002102061,0.000007614437,0.00003519524,0.00004547575,0.00002133038],"domain_scores_gemma":[0.9996831,0.0001112994,0.0000771368,0.00003043765,0.00005410952,0.00004397475],"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":[0.00002227837,0.000003611134,0.0004043489,0.0000104843,0.000002439409,0.00001424995,0.00002101243,0.00005501271,0.9988847,0.0000221366,0.000002609783,0.0005571222],"study_design_scores_gemma":[0.000001588831,0.00004881649,0.003848012,0.00000120856,0.000006551993,0.00005554628,0.00001855648,0.0004992029,0.9953514,0.00002695954,0.0001389711,0.00000322627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959895,0.000265025,0.003238784,0.00001148352,0.000001992164,0.00000961868,0.00008877286,0.00002380406,0.0003710288],"genre_scores_gemma":[0.9942002,0.0003311906,0.004871139,0.00001760861,0.000003375021,0.00001489165,0.0001384007,0.00001284605,0.0004104045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005116062,"threshold_uncertainty_score":0.001635909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008946423673389606,"score_gpt":0.2276990641817099,"score_spread":0.2187526405083203,"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."}}