{"id":"W6969459372","doi":"10.5683/sp3/5dorkb","title":"Raw data and NMR spectrum files for: A High-Yielding, Scalable, Chromatography Free Synthesis of L-BPA for use in Boron Neutron Capture Cancer Therapy","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Neutron capture; Boron; Raw data; Cancer therapy; Nuclear magnetic resonance spectroscopy; Raw material; Spectrum (functional analysis)","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":[0.001243229,0.003214516,0.001797056,0.001884254,0.001403063,0.001745633,0.00376122,0.003553434,0.05131686],"category_scores_gemma":[0.002901484,0.0007211792,0.001587043,0.002670133,0.0006535299,0.001363214,0.001908352,0.002591531,0.06865884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002110095,"about_ca_system_score_gemma":0.002514486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058608,"about_ca_topic_score_gemma":0.04571184,"domain_scores_codex":[0.9989794,0.000144779,0.00008316828,0.0003089617,0.0003355138,0.0001482824],"domain_scores_gemma":[0.9988108,0.0002851333,0.000125638,0.0003324054,0.0003220362,0.0001239588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003730267,0.0001276457,0.0007586083,0.001814164,0.00006564413,0.00008428937,0.00002911638,0.0008823696,0.002422627,0.0006589728,0.9881606,0.004622887],"study_design_scores_gemma":[0.0004845554,0.00009308798,0.002897761,0.0002552493,0.00007587417,0.0001651334,0.00006395019,0.001201905,0.004896163,0.001898213,0.987899,0.00006911163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003458547,0.0001543922,0.0002260321,0.00007896902,0.00004349839,0.00002499306,0.9972783,0.0008510946,0.0009969447],"genre_scores_gemma":[0.0006033639,0.00008052101,0.0007109123,0.00008120039,0.0000057666,0.00006749832,0.9978786,0.0000881585,0.0004841036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05131686,"threshold_uncertainty_score":0.171672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730491487483283,"score_gpt":0.2864692314679461,"score_spread":0.2591643165931132,"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."}}