{"id":"W2755286605","doi":"10.1002/marc.201700430","title":"Taming Macromolecules with Light: Lessons Learned from Vibrational Spectroscopy","year":2017,"lang":"en","type":"review","venue":"Macromolecular Rapid Communications","topic":"Photochromic and Fluorescence Chemistry","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Azobenzene; Photoisomerization; Raman spectroscopy; Spectroscopy; Molecular machine; Context (archaeology); Nanotechnology; Materials science; Macromolecule; Chemical physics; Chemistry; Isomerization; Molecule; Physics; Optics; Organic chemistry; Catalysis; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.000383719,0.0007670029,0.001588048,0.0001321833,0.001435101,0.0007949212,0.005940074,0.0004345557,0.0006728715],"category_scores_gemma":[0.0001226972,0.0006613351,0.0004957868,0.0002225846,0.0008261729,0.0002332249,0.001429205,0.0009207827,0.0007174895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347643,"about_ca_system_score_gemma":0.0009403072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001424414,"about_ca_topic_score_gemma":0.00002794701,"domain_scores_codex":[0.9965475,0.0004716489,0.0008010627,0.001038232,0.0005282222,0.0006133091],"domain_scores_gemma":[0.9911004,0.0002444123,0.001079973,0.007247287,0.0001330811,0.000194892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002695374,0.0004103722,9.518174e-7,0.001747076,0.0004874777,0.0001620741,0.0004129694,0.000001150844,0.5438233,0.002209786,0.00067376,0.4500441],"study_design_scores_gemma":[0.0003428985,0.00004157093,0.000001052555,0.006327281,0.0007580638,0.00009940037,0.00006220837,0.00003436738,0.09492046,0.0007743037,0.8956704,0.0009680287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003177772,0.9839994,0.004878842,0.0009693781,0.000122052,0.0007398983,0.0009212195,0.0001978236,0.008139605],"genre_scores_gemma":[0.0003547665,0.957164,0.03914705,0.00007404021,0.0001131684,0.0005890233,0.002286993,0.0001466373,0.0001242944],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8949966,"threshold_uncertainty_score":0.9998649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.13741844450753,"score_gpt":0.3779179621088217,"score_spread":0.2404995176012917,"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."}}