{"id":"W2428731401","doi":"10.1002/macp.201600028","title":"Synthesis and Solution Self‐Assembly of Polyisoprene‐<i>block</i>‐poly(ferrocenylmethylsilane): A Diblock Copolymer with an Atactic but Semicrystalline Core‐Forming Metalloblock","year":2016,"lang":"en","type":"article","venue":"Macromolecular Chemistry and Physics","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Copolymer; Micelle; Polymer chemistry; Molar mass; Dispersity; Crystallinity; Polymerization; Materials science; Chemistry; Polymer; Organic chemistry; Composite material; Aqueous solution","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001056619,0.0003404404,0.0001342365,0.0001127972,0.0001110089,0.0001616171,0.0001295881,0.0002018663,0.0006223667],"category_scores_gemma":[0.0000994953,0.0001754894,0.00016781,0.0001112457,0.0001043764,0.0001935999,0.0000948749,0.0003280637,0.0003034345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002449296,"about_ca_system_score_gemma":0.0002155645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004733295,"about_ca_topic_score_gemma":0.0009617062,"domain_scores_codex":[0.9999447,0.00000586753,0.000005153361,0.00001821025,0.00001403019,0.00001209907],"domain_scores_gemma":[0.999928,0.0000120172,0.00002527654,0.000006956374,0.00001080437,0.00001689552],"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":[0.000009775711,0.000008319389,0.0000189811,0.00001363419,0.000001054765,0.000009323976,0.00000466926,0.0000631128,0.9992685,0.00005123738,0.000008062643,0.0005433345],"study_design_scores_gemma":[0.000007408752,0.0001068494,0.0002306708,0.000001445245,0.000003081137,0.00002344604,0.000002088728,0.0006501458,0.9983559,0.00001349582,0.000603673,0.000001745695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849707,0.0008936222,0.01131874,0.00004390374,0.00003274865,0.00007872449,0.0001440342,0.0001526211,0.002364836],"genre_scores_gemma":[0.9769553,0.0008321837,0.01836292,0.00003369421,0.00001613735,0.00006647695,0.0002524236,0.00005086263,0.00343003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006223667,"threshold_uncertainty_score":0.00208199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00834549539963182,"score_gpt":0.2128851158227754,"score_spread":0.2045396204231436,"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."}}