{"id":"W2607034969","doi":"10.1017/s0885715615000457","title":"Synchrotron powder diffraction, X-ray absorption and <sup>1</sup> H nuclear magnetic resonance data for hypoxanthine, C <sub>5</sub> H <sub>4</sub> N <sub>4</sub> O","year":2015,"lang":"en","type":"article","venue":"Powder Diffraction","topic":"Crystallography and molecular interactions","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Canadian Light Source (Canada)","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Triclinic crystal system; Crystallography; X-ray absorption spectroscopy; Nuclear magnetic resonance spectroscopy; Materials science; Spectroscopy; Synchrotron; Powder diffraction; X-ray crystallography; Hypoxanthine; Space group; Nuclear magnetic resonance; Diffraction; Absorption spectroscopy; Chemistry; Crystal structure; Physics; Nuclear physics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002736877,0.001142911,0.003192359,0.001313829,0.002044303,0.001062334,0.002426343,0.001780056,0.0250978],"category_scores_gemma":[0.003608495,0.0009633652,0.0007400256,0.005998132,0.001117829,0.001520743,0.0008213695,0.002233696,0.005659068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066897,"about_ca_system_score_gemma":0.003153901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002520309,"about_ca_topic_score_gemma":0.004480544,"domain_scores_codex":[0.9984977,0.0002332121,0.0001581089,0.000155945,0.0008248516,0.0001301843],"domain_scores_gemma":[0.9978868,0.0004041445,0.0002565584,0.0004186158,0.0008751731,0.0001586414],"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":[0.002604877,0.0002495198,0.00373874,0.004136819,0.0001871329,0.0008921204,0.001282802,0.005340182,0.6775012,0.02169141,0.1725105,0.1098647],"study_design_scores_gemma":[0.0007829766,0.0006106225,0.01275829,0.0002167961,0.0004835607,0.001985393,0.001047733,0.01263314,0.3370224,0.006061524,0.6262174,0.0001802011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4532645,0.02201871,0.2316327,0.008300307,0.005042269,0.002659504,0.1557656,0.008397656,0.1129189],"genre_scores_gemma":[0.4197601,0.0230085,0.2881679,0.001363924,0.0004907031,0.00246778,0.197561,0.002285546,0.0648945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0250978,"threshold_uncertainty_score":0.08396047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202677449444666,"score_gpt":0.2454363925804275,"score_spread":0.225168647635961,"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."}}