{"id":"W3167368481","doi":"10.1002/adom.202100525","title":"Exploiting Light Interferences to Generate Micrometer‐High Superstructures from Monomeric Azo Materials with Extensive Orientational Mobility","year":2021,"lang":"en","type":"article","venue":"Advanced Optical Materials","topic":"Photochromic and Fluorescence Chemistry","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Agence Nationale de la Recherche","keywords":"Materials science; Photochromism; Polarization (electrochemistry); Micrometer; Optoelectronics; Irradiation; Nanometre; Thermal; Relaxation (psychology); Chemical physics; Optics; Nanotechnology; Composite material; 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":[0.0001020383,0.0003824548,0.0001343781,0.0002061829,0.0001119386,0.0002312038,0.0002496799,0.0001995738,0.0004646256],"category_scores_gemma":[0.0001439442,0.0002052741,0.0001421261,0.0001269159,0.0002198324,0.0001547879,0.0001838529,0.0002971621,0.000173955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003404141,"about_ca_system_score_gemma":0.0001447222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000649941,"about_ca_topic_score_gemma":0.001634522,"domain_scores_codex":[0.9999206,0.000008278432,0.000004012832,0.00001874142,0.00002435992,0.0000240506],"domain_scores_gemma":[0.9998628,0.00004197675,0.00004746615,0.00001730611,0.00001279888,0.00001770179],"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":[0.000006540259,0.000002642796,0.00002897069,0.000006504393,8.566133e-7,0.00001238355,0.000007199556,0.00002907975,0.9996916,0.00004857877,0.000004349494,0.0001613559],"study_design_scores_gemma":[0.000002419964,0.00002925384,0.0003808287,7.189457e-7,0.000002148646,0.00001974662,0.000004352999,0.0003890196,0.9989907,0.000008857206,0.0001709364,0.000001059903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958774,0.0002194182,0.002843043,0.0000218315,0.000007742445,0.00001340986,0.00004934531,0.00004032193,0.0009273823],"genre_scores_gemma":[0.9945374,0.0001987756,0.004390279,0.00001315907,0.000005643843,0.00001232508,0.00007182085,0.00001917722,0.0007514059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000649941,"threshold_uncertainty_score":0.002469897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009827640481079434,"score_gpt":0.235923746127029,"score_spread":0.2260961056459496,"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."}}