{"id":"W2528445625","doi":"10.69645/qmbo4787","title":"Advances in fibrinolysis","year":2016,"lang":"en","type":"article","venue":"The biomedical & life sciences collection.","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Fibrinolysis; Medicine; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0006517447,0.0001136984,0.0002464012,0.0002200698,0.0003541338,0.00001908166,0.0002125323,0.00006799525,0.0005638079],"category_scores_gemma":[0.0001807935,0.00005318652,0.000213083,0.001994455,0.001237909,0.0001961643,0.00004328701,0.00009156179,0.00009535498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006289186,"about_ca_system_score_gemma":0.0003754766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000302201,"about_ca_topic_score_gemma":0.00003582253,"domain_scores_codex":[0.9982376,0.0001058729,0.0002465702,0.0003335017,0.0007528292,0.0003236588],"domain_scores_gemma":[0.9992559,0.0002049974,0.00004882417,0.0002172481,0.00004202539,0.0002310134],"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":[0.0008607701,0.0007536164,0.09813019,0.00008382092,0.0003242225,0.0001514441,0.0004098737,0.00003791208,0.004006324,0.00106031,0.02789677,0.8662847],"study_design_scores_gemma":[0.004618571,0.0008945339,0.07440821,0.0002986919,0.0001411754,0.0002696595,0.0007231029,0.0006045148,0.000546872,0.002077064,0.9150761,0.0003414788],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8213556,0.05543908,0.03173764,0.04036389,0.002786565,0.001659536,0.00002651477,0.000485967,0.04614514],"genre_scores_gemma":[0.9922197,0.004426986,0.0001254718,0.0008978641,0.0003205112,0.00004082019,0.000001474365,0.000007083791,0.001960028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8871794,"threshold_uncertainty_score":0.6173301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209649402099715,"score_gpt":0.2711984066166146,"score_spread":0.2591019125956174,"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."}}