{"id":"W4414161973","doi":"10.1182/bloodadvances.2025017937","title":"Overall survival, conditioning, and MRD in MORPHO","year":2025,"lang":"en","type":"article","venue":"Blood Advances","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research","funders":"National Institutes of Health; Astellas Pharma","keywords":"","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":[0.0008964933,0.000301773,0.0004142531,0.0004296893,0.0002635555,0.0007073187,0.000379558,0.0004547631,0.002458372],"category_scores_gemma":[0.001185637,0.00008925881,0.0006019784,0.0004438779,0.0004836202,0.0005046274,0.0005852696,0.0009453367,0.0003448004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005890356,"about_ca_system_score_gemma":0.0003805002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00121088,"about_ca_topic_score_gemma":0.001834287,"domain_scores_codex":[0.9997968,0.00005699767,0.00001797079,0.00003877758,0.00003237931,0.0000570681],"domain_scores_gemma":[0.9992557,0.0001707611,0.0002470546,0.00008068899,0.00004315676,0.0002026241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03032482,0.0008211357,0.8495745,0.0001915579,0.000989434,0.0008427595,0.0001980839,0.002650306,0.004851648,0.002361215,0.002663057,0.1045315],"study_design_scores_gemma":[0.0003068909,0.0046619,0.9749334,0.0001040812,0.0009506172,0.001566255,0.000236913,0.003697038,0.001650052,0.003712185,0.008144206,0.00003652808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851517,0.007437477,0.001072098,0.0005334638,0.0001199209,0.00002652359,0.0007595036,0.00003246052,0.004866872],"genre_scores_gemma":[0.9965206,0.0009464114,0.0001865657,0.0002232158,0.0001068621,0.00001682693,0.0008620436,0.000008638385,0.001128793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002458372,"threshold_uncertainty_score":0.00822407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096864869183514,"score_gpt":0.3267125645469144,"score_spread":0.3157439158550793,"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."}}