{"id":"W2299053431","doi":"10.1021/acsmacrolett.5b00483","title":"In Situ Photocontrol of Block Copolymer Morphology During Dip-Coating of Thin Films","year":2015,"lang":"en","type":"article","venue":"ACS Macro Letters","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Emil Aaltosen Säätiö; Suomen Kulttuurirahasto","keywords":"Copolymer; Materials science; Photoisomerization; Morphology (biology); Coating; Dip-coating; Thin film; Chemical engineering; Polystyrene; Solvent; Phase (matter); In situ; Polymer chemistry; Nanotechnology; Polymer; Composite material; Catalysis; Chemistry; Organic chemistry; Isomerization","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":[0.00008148085,0.0004161595,0.0002003245,0.0001528431,0.000122054,0.0002640963,0.0002710244,0.0001931413,0.0008498766],"category_scores_gemma":[0.0001479905,0.0002393229,0.0001561428,0.0001184772,0.0002035585,0.0002340811,0.0002047578,0.0004170967,0.0002791776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348356,"about_ca_system_score_gemma":0.0001443906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005244869,"about_ca_topic_score_gemma":0.001045731,"domain_scores_codex":[0.9999037,0.000006567775,0.000005997573,0.00002895021,0.0000278301,0.00002711926],"domain_scores_gemma":[0.9998719,0.0000352562,0.00004004633,0.00001799794,0.00001588582,0.00001895247],"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":[0.000006318439,0.000002336822,0.00001631586,0.0000114521,9.938447e-7,0.00001354949,0.000005326412,0.00001447144,0.9994547,0.00001472301,0.000006476536,0.0004533942],"study_design_scores_gemma":[0.000001142486,0.00001506648,0.0002280694,5.647451e-7,0.000001794137,0.00001691186,0.000002011631,0.0002541875,0.9992955,0.000004214977,0.0001795016,9.79045e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806323,0.0009974769,0.01504169,0.00009239241,0.00005889027,0.00004156925,0.0002239331,0.0003829172,0.002528915],"genre_scores_gemma":[0.9874582,0.0007380904,0.009754416,0.0000461626,0.00001509915,0.00003007415,0.0001435058,0.00007135941,0.001743199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008498766,"threshold_uncertainty_score":0.002843082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144100996097975,"score_gpt":0.2427591359606951,"score_spread":0.2313181259997154,"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."}}