{"id":"W2906856275","doi":"10.71781/11191","title":"Design, synthesis, pericyclic chemistry and biomedical applications of azopeptides","year":2018,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Université de Montréal","keywords":"Pericyclic reaction; Chemistry; Biochemical engineering; Nanotechnology; Engineering; Organic chemistry; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000148996,0.0002727622,0.0001766196,0.0001503575,0.0001347771,0.000310445,0.0002402385,0.0002348529,0.001147004],"category_scores_gemma":[0.0001550474,0.000131656,0.0001842439,0.0001548989,0.0002107589,0.0002192507,0.0001875893,0.0003338194,0.0004712754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003146236,"about_ca_system_score_gemma":0.0001840022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002889533,"about_ca_topic_score_gemma":0.0004524224,"domain_scores_codex":[0.9999232,0.00001346436,0.000006733796,0.00002222287,0.000020541,0.00001393524],"domain_scores_gemma":[0.9999508,0.000009112476,0.00001597303,0.000006270598,0.000008904535,0.000008900503],"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":[0.00009096153,0.00001300119,0.00005925576,0.0002290483,0.000004738483,0.00006972612,0.00002988696,0.0006005808,0.985916,0.001357871,0.00007527495,0.01155367],"study_design_scores_gemma":[0.00002271694,0.0006984528,0.0006467319,0.00002394603,0.00001488046,0.0002908057,0.00001914565,0.0006143674,0.9787697,0.0003005704,0.01859132,0.000007360919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8634579,0.06797511,0.04277791,0.0005630553,0.0002087031,0.0002630863,0.000659349,0.0002428255,0.02385211],"genre_scores_gemma":[0.9210663,0.0346261,0.03108283,0.0001675219,0.00007072863,0.0001665788,0.0003920952,0.00004757548,0.01238021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001147004,"threshold_uncertainty_score":0.003837109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373180850157821,"score_gpt":0.293169196813402,"score_spread":0.2794373883118237,"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."}}