{"id":"W4406121435","doi":"10.1016/j.pharmr.2025.100037","title":"Anticoagulants: From chance discovery to structure-based design","year":2025,"lang":"en","type":"review","venue":"Pharmacological Reviews","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"","keywords":"Drug discovery; Computational biology; Chemistry; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000772942,0.0009614865,0.004702372,0.0003790423,0.0001344283,0.000309069,0.00438631,0.0003326618,0.0001610902],"category_scores_gemma":[0.000863731,0.0006130488,0.001146919,0.002236302,0.00006303022,0.0004761193,0.001018287,0.0007505508,0.0002531571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002879646,"about_ca_system_score_gemma":0.0003365718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000571339,"about_ca_topic_score_gemma":0.000001683879,"domain_scores_codex":[0.9939814,0.001728532,0.001484396,0.001732126,0.0004250612,0.0006485],"domain_scores_gemma":[0.9956807,0.001777832,0.0008212773,0.001366559,0.00007606918,0.0002775995],"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":[0.000003183804,0.00006590808,2.729929e-7,0.002208302,0.0000836268,0.00003345393,0.000003461606,0.00001477293,0.00005724298,0.0003834317,0.005767143,0.9913792],"study_design_scores_gemma":[0.00009441706,0.00006261137,5.907702e-7,0.01020513,0.0009605896,0.00000165355,9.577696e-8,0.0003653117,0.0003502618,0.00151379,0.9857818,0.0006636868],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[6.002809e-8,0.5065007,0.4908541,0.0000620746,0.0002183408,0.002048227,0.00004681097,0.00022576,0.00004396896],"genre_scores_gemma":[0.000002009754,0.7449496,0.2512775,0.00247506,0.0001556722,0.0008767693,0.00004818717,0.00002035514,0.0001947931],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9907155,"threshold_uncertainty_score":0.9996321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.149436100269024,"score_gpt":0.4509059683486288,"score_spread":0.3014698680796047,"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."}}