{"id":"W4285341019","doi":"10.2196/34533","title":"Predicting Therapeutic Response to Unfractionated Heparin Therapy: Machine Learning Approach","year":2022,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Heparin-Induced Thrombocytopenia and Thrombosis","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Partial thromboplastin time; Medicine; Nomogram; Heparin; Prothrombin time; Therapeutic index; Activated clotting time; Internal medicine; Coagulation; Drug; Pharmacology","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":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01776377,0.0002026829,0.00066478,0.001219676,0.000623644,0.00007574098,0.0007309605,0.00014698,0.005338995],"category_scores_gemma":[0.01234358,0.0001570963,0.0002446705,0.001366495,0.000154086,0.0002230609,0.0006019966,0.007554499,0.00005231712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144676,"about_ca_system_score_gemma":0.001760199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004038588,"about_ca_topic_score_gemma":0.000008047524,"domain_scores_codex":[0.9884273,0.004368653,0.0007934108,0.0003615942,0.005419974,0.0006290775],"domain_scores_gemma":[0.9929054,0.004514088,0.0002865616,0.0002851818,0.001051909,0.0009568612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.1231892,0.007741219,0.08054459,0.0001056854,0.003740587,0.003306598,0.01721402,0.0008965971,0.3893214,0.0003375653,0.004456451,0.369146],"study_design_scores_gemma":[0.01651458,0.02811966,0.1948652,0.000869227,0.0001759563,0.01190759,0.02216118,0.03242079,0.02033233,0.0005223824,0.671433,0.0006780716],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735158,0.0005752721,0.0005016736,0.02107407,0.0004165731,0.000502384,0.000005326111,0.00003218915,0.003376701],"genre_scores_gemma":[0.9970021,0.0003392944,0.0002309255,0.0009517884,0.0003693346,0.0000633239,0.000008032771,0.00005495635,0.0009802812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6669766,"threshold_uncertainty_score":0.9959759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234726840238261,"score_gpt":0.4494514693875451,"score_spread":0.3259787853637189,"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."}}