{"id":"W2005135029","doi":"10.1016/s0006-2952(01)00774-2","title":"Molecular cloning and functional characterization of murine cysteinyl-leukotriene 1 (CysLT1) receptors11Abbreviations: LT, leukotriene; hCysLT1R, human cysteinyl-leukotriene receptor (subtype 1); mCysLT1R, mouse cysteinyl-leukotriene receptor (subtype 1); CysLT2R, cysteinyl-leukotriene receptor (subtype 2); HEK, human embryonic kidney; ORF, open reading frame; RT-PCR, reverse transcription-polymerase chain reaction; and RACE, rapid amplification of cDNA ends.","year":2001,"lang":"en","type":"article","venue":"Biochemical Pharmacology","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"National Heart, Lung, and Blood Institute; Philippe Foundation","keywords":"Leukotriene D4; Receptor; Molecular biology; Chemistry; Leukotriene; Amino acid; HEK 293 cells; Leukotriene C4; Biochemistry; Biology; Antagonist","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":[0.0003657519,0.0004491857,0.0003072599,0.0003973585,0.0004092061,0.0003792128,0.0004801709,0.0004150641,0.005078081],"category_scores_gemma":[0.000370022,0.0002748768,0.0005683288,0.0003120206,0.0001615396,0.0003633001,0.0002239506,0.0007999673,0.003461548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005961771,"about_ca_system_score_gemma":0.0004078036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058113,"about_ca_topic_score_gemma":0.001614246,"domain_scores_codex":[0.9997787,0.00002656689,0.00003170166,0.00004601558,0.00004980389,0.00006721824],"domain_scores_gemma":[0.9998161,0.00004462746,0.00003019535,0.0000305104,0.00003857539,0.00003996688],"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":[0.0001444884,0.00005470849,0.00009864184,0.00006240135,0.000004927433,0.00007296883,0.00003767177,0.00008200499,0.9965558,0.0005281043,0.0002561338,0.002102335],"study_design_scores_gemma":[0.0001143149,0.0004919701,0.008001182,0.00004092643,0.00004851289,0.0006493603,0.0000734167,0.001591694,0.9372749,0.0002754346,0.05141814,0.00002022338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145877,0.008559003,0.03566793,0.001052617,0.0004484021,0.0006137867,0.0274395,0.0003881378,0.01124277],"genre_scores_gemma":[0.7576556,0.008906698,0.05836015,0.0004113242,0.000145668,0.0006868239,0.1130987,0.0003003231,0.06043473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005078081,"threshold_uncertainty_score":0.01698786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995347673607244,"score_gpt":0.2837141640114944,"score_spread":0.2637606872754219,"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."}}