{"id":"W3023582621","doi":"10.1016/b0-12-369397-7/00423-4","title":"NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY APPLICATIONS | Forensic","year":2005,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Nuclear magnetic resonance; Spectroscopy; Forensic science; Materials science; Physics; History; Astronomy; Archaeology","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":[0.0005158013,0.001566543,0.0009920582,0.001928855,0.0008197711,0.003554355,0.001263251,0.002226667,0.1159514],"category_scores_gemma":[0.0007931325,0.0005828047,0.000313618,0.002143903,0.0009782983,0.003740849,0.001548337,0.001835078,0.08312191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007971757,"about_ca_system_score_gemma":0.0007782573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420177,"about_ca_topic_score_gemma":0.002696728,"domain_scores_codex":[0.999619,0.00003567753,0.00001613597,0.00007049568,0.0002355207,0.00002322944],"domain_scores_gemma":[0.999615,0.0001365321,0.00002159175,0.00005144182,0.000140033,0.00003544944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002793307,0.00006189614,0.00006941181,0.0006343713,0.000005237807,0.0002232725,0.0001541771,0.0004736107,0.005235173,0.03738973,0.1684784,0.7872467],"study_design_scores_gemma":[0.000002394381,0.00001427281,0.0001060314,0.0001972967,0.000004084844,0.000605381,0.00005526128,0.0002639911,0.001477841,0.01222274,0.9850432,0.000007586005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000870453,0.04853434,0.02288751,0.002256918,0.002322011,0.00004869938,0.0002666408,0.0009562646,0.9218572],"genre_scores_gemma":[0.00399077,0.02678998,0.007958191,0.0005434319,0.0006396113,0.00002832956,0.0001768586,0.0002402191,0.9596327],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1159514,"threshold_uncertainty_score":0.3878961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006856631959539877,"score_gpt":0.2208544102967276,"score_spread":0.2139977783371877,"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."}}