{"id":"W1964381646","doi":"10.1016/j.chroma.2011.08.009","title":"Use of hydrogen as a carrier gas for the analysis of steroids with anabolic activity by gas chromatography–mass spectrometry","year":2011,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Mass spectrometry; Hydrogen; Gas chromatography; Chromatography; Analyte; Electron ionization; Fragmentation (computing); Process engineering; Analytical Chemistry (journal); Ionization; Ion; Organic chemistry; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005129616,0.0002811493,0.001351801,0.001450394,0.0001078209,0.00001213447,0.0002223764,0.00008601134,0.00004738305],"category_scores_gemma":[0.00009441067,0.0001505905,0.001484388,0.003293699,0.0006732839,0.000223842,0.00003335492,0.0002520329,2.215698e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002115567,"about_ca_system_score_gemma":0.000111366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002548399,"about_ca_topic_score_gemma":0.00003206428,"domain_scores_codex":[0.9979483,0.00008708476,0.0006812466,0.0002686663,0.0006996405,0.0003150887],"domain_scores_gemma":[0.9972647,0.0002007935,0.001125432,0.0004897972,0.0007405207,0.0001787267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004139124,0.001298912,0.5628836,0.000272162,0.05832446,0.00005902578,0.002837977,0.00001442547,0.3674086,0.0001154185,0.0008004325,0.00184585],"study_design_scores_gemma":[0.002047084,0.003766409,0.6833505,0.0001843613,0.01409292,0.0002290179,0.001423131,0.00004797597,0.2934835,0.0002926457,0.0008372409,0.000245279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935586,0.004567294,0.0008318597,0.000212845,0.00005392643,0.0004051675,0.0001033145,0.00001149994,0.0002555284],"genre_scores_gemma":[0.9968681,0.001169625,0.001769308,0.00003621707,0.00009213669,0.00001349612,0.000003081256,0.00002820733,0.00001986638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1204669,"threshold_uncertainty_score":0.6140904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267331057953394,"score_gpt":0.2604802906425108,"score_spread":0.2337471848471714,"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."}}