{"id":"W2768782442","doi":"10.1002/anie.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 International Edition","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":13,"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; Alcohol; Stereochemistry; Convergent synthesis; Medicinal chemistry; 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","research_integrity","insufficient_payload"],"category_scores_codex":[0.008987834,0.006120417,0.005756906,0.0013127,0.007800026,0.003874986,0.0150509,0.001836328,0.01901322],"category_scores_gemma":[0.005298229,0.005120204,0.00366342,0.003905366,0.0088469,0.01209738,0.007562241,0.00573875,0.002578661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002975371,"about_ca_system_score_gemma":0.001112875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004412111,"about_ca_topic_score_gemma":0.00350067,"domain_scores_codex":[0.9667604,0.001707871,0.006852254,0.007937182,0.01048348,0.006258816],"domain_scores_gemma":[0.9689316,0.003052434,0.009768424,0.01239626,0.002800653,0.003050616],"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":[0.005124629,0.00322813,0.02194853,0.0008299703,0.002503179,0.0005787683,0.001245869,0.0017112,0.3286355,0.0005967591,0.6269337,0.006663798],"study_design_scores_gemma":[0.008622138,0.001061708,0.01246082,0.0009133653,0.001900738,0.001577644,0.0009480215,0.0003218043,0.5209337,0.002434327,0.4429583,0.005867437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2851544,0.004395034,0.01972538,0.04199973,0.03347837,0.01787593,0.008439766,0.004998957,0.5839324],"genre_scores_gemma":[0.90979,0.00198213,0.008251081,0.01189031,0.007841914,0.003812834,0.001547502,0.001513558,0.05337064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6246356,"threshold_uncertainty_score":0.9994595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310362036994278,"score_gpt":0.263206717559194,"score_spread":0.2501030971892512,"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."}}