{"id":"W1988034742","doi":"10.1039/b212797k","title":"Studies of cisplatin and hemoglobin interactions using nanospray mass spectrometry and liquid chromatography with inductively-coupled plasma mass spectrometry","year":2003,"lang":"en","type":"article","venue":"The Analyst","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Mass spectrometry; Chromatography; Cisplatin; Tandem mass spectrometry; Hemoglobin; Inductively coupled plasma mass spectrometry; High-performance liquid chromatography; Liquid chromatography–mass spectrometry; Electrospray ionization; Biochemistry","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":[0.0004635529,0.0003239401,0.0004007379,0.0004229036,0.000249939,0.0003403435,0.0003615916,0.0003235083,0.0007089556],"category_scores_gemma":[0.0009199449,0.0001885116,0.0001607394,0.0003787966,0.0003493835,0.0004489025,0.0003220147,0.0004663841,0.0002841818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004432859,"about_ca_system_score_gemma":0.0003533456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008410789,"about_ca_topic_score_gemma":0.001087169,"domain_scores_codex":[0.9993931,0.0001097985,0.00002534517,0.00007377387,0.0003713928,0.00002660653],"domain_scores_gemma":[0.9995247,0.0001881612,0.00009358946,0.0000197574,0.000140195,0.00003355634],"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":[0.0001540542,0.00003211992,0.001081132,0.00007857964,0.00002104053,0.00007728298,0.00005815878,0.0002433222,0.9877796,0.0002551184,0.00009913088,0.01012055],"study_design_scores_gemma":[0.00001580468,0.0003392921,0.003107127,0.000003626672,0.00002232995,0.0003819704,0.00002720979,0.003169353,0.9902553,0.0002182634,0.002448367,0.00001140889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8469022,0.009116224,0.1387918,0.0003867969,0.00005546608,0.0002231385,0.0004394292,0.000430821,0.003654242],"genre_scores_gemma":[0.9277036,0.003597412,0.06418007,0.0003382129,0.0000421532,0.0002542461,0.0003785559,0.00007091721,0.003434794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008410789,"threshold_uncertainty_score":0.003216207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196606445572026,"score_gpt":0.2835590655401714,"score_spread":0.2615930010844512,"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."}}