{"id":"W4417515874","doi":"10.1016/j.xjon.2025.101567","title":"Reply: Hydrodissection for conduit harvesting: Catch the wave!","year":2025,"lang":"en","type":"article","venue":"JTCVS Open","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"Institut de Cardiologie de Montréal","keywords":"Electrical conduit; Work (physics); Inflow; Current (fluid)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004359486,0.00007532897,0.0000918803,0.00001826924,0.0002857483,0.0001528972,0.0006183733,0.00004698875,0.0005934396],"category_scores_gemma":[0.0002859146,0.00005283936,0.0000279843,0.0002501433,0.0001161205,0.0002612765,0.0004840651,0.0000818632,0.0001497066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007936328,"about_ca_system_score_gemma":0.00001626089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260969,"about_ca_topic_score_gemma":0.0005606498,"domain_scores_codex":[0.9993179,0.00002684935,0.0001542687,0.0002648091,0.00009116637,0.0001449467],"domain_scores_gemma":[0.9993389,0.0001126605,0.00006369715,0.0004601346,0.00000763468,0.00001699097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009297449,0.0001056694,0.008147635,0.00003171534,0.00004069602,0.000002759017,0.0007691805,0.001139099,0.06141222,0.02240506,0.8265779,0.07927509],"study_design_scores_gemma":[0.0003472472,0.00005059407,0.00872214,0.00001331452,0.00001430491,0.000003496432,0.0003323135,0.002607716,0.09798225,0.01210342,0.8777009,0.0001223416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4167264,0.00004291039,0.003070121,0.03485217,0.0005301008,0.003605176,0.00000848811,0.0003327572,0.5408319],"genre_scores_gemma":[0.8398364,0.000006137248,0.001854179,0.002407596,0.0000170373,0.0004076483,0.000009432123,0.000008661598,0.155453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4231099,"threshold_uncertainty_score":0.6497747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04913736139697504,"score_gpt":0.3190878948102966,"score_spread":0.2699505334133215,"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."}}