{"id":"W2923618670","doi":"10.1002/ange.201711006","title":"Total Synthesis of (6<i>R</i>,10<i>R</i>,13<i>R</i>,14<i>R</i>,16<i>R</i>,17<i>R</i>,19<i>S</i>,20<i>R</i>,21<i>R</i>,24<i>S</i>, 25<i>S</i>,28<i>S</i>,30<i>S</i>,32<i>R</i>,33<i>R</i>,34<i>R</i>,36<i>S</i>,37<i>S</i>,39<i>R</i>)‐Azaspiracid‐3 Reveals Non‐Identity with the Natural Product","year":2017,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Institute of Environmental Health Sciences","keywords":"Total synthesis; Chemistry; Alkyne; Stereoselectivity; Stereochemistry; Alcohol; Convergent synthesis; Mass spectrometry; Tartaric acid; Organic chemistry; Catalysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01247881,0.008953704,0.009245611,0.001457926,0.01189693,0.004530299,0.01900493,0.002493473,0.01708844],"category_scores_gemma":[0.00578075,0.007296268,0.005102786,0.006498729,0.0136777,0.01162458,0.01110821,0.007907076,0.003621892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002951483,"about_ca_system_score_gemma":0.001693708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006261133,"about_ca_topic_score_gemma":0.005688947,"domain_scores_codex":[0.9565066,0.002707373,0.008736209,0.01076043,0.01123866,0.01005072],"domain_scores_gemma":[0.9559583,0.004226645,0.01159899,0.02084612,0.002519694,0.004850253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005738884,0.003739803,0.03042683,0.001631616,0.002730604,0.001067822,0.001766041,0.001547726,0.4012562,0.0005172115,0.5434491,0.00612813],"study_design_scores_gemma":[0.0108174,0.001599723,0.01285798,0.001088497,0.003193439,0.002063846,0.001233716,0.0001768284,0.5138709,0.002085507,0.4421697,0.008842505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4935389,0.008336561,0.003987418,0.02133833,0.01278192,0.01933125,0.004985068,0.005171581,0.430529],"genre_scores_gemma":[0.8875221,0.002338366,0.01053775,0.01345667,0.00452106,0.004570775,0.0007630159,0.002383363,0.07390688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3939833,"threshold_uncertainty_score":0.9988015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454375688045263,"score_gpt":0.2555100792625416,"score_spread":0.240966322382089,"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."}}