{"id":"W7073677593","doi":"","title":"IR spectroscopy in clinical and diagnostic applications","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spectroscopy; Infrared spectroscopy; Infrared; Analytical Chemistry (journal)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001174066,0.00004793271,0.000103837,0.00002125649,0.00003288213,0.00001154219,0.00005910245,0.00003706649,0.003038263],"category_scores_gemma":[0.0001245943,0.0000339116,0.00003034125,0.0001574081,0.000118257,0.00002792994,0.000008154307,0.0001054656,0.0003028786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.996045e-7,"about_ca_system_score_gemma":0.00001156108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003881941,"about_ca_topic_score_gemma":0.002249938,"domain_scores_codex":[0.9994681,0.00001851078,0.0001498934,0.0001668843,0.00006392019,0.0001326279],"domain_scores_gemma":[0.9995518,0.000259349,0.00001749467,0.00007380726,0.000006895567,0.00009064702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003578202,0.00002709759,0.9919362,0.000002043009,0.000002624711,0.000006977403,0.000007022997,0.0001013749,0.0001204484,0.0009676324,0.00004284994,0.006782172],"study_design_scores_gemma":[0.0001270914,0.00003018973,0.6901835,0.000002099883,0.000004652226,0.000002079463,0.000007663725,0.0001398954,0.0001037109,0.3087754,0.0005841705,0.00003952468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977891,0.0001260779,0.0003742557,0.002718086,0.00001532361,0.00007228158,0.000007138447,0.00001476018,0.01878112],"genre_scores_gemma":[0.992999,0.0001836696,0.006364044,0.0003559729,0.00005353506,0.00000275307,0.0000175802,4.599335e-7,0.00002305057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3078077,"threshold_uncertainty_score":0.9978731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322163324019664,"score_gpt":0.2459124356668798,"score_spread":0.2326908024266832,"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."}}