{"id":"W4415726822","doi":"10.2196/86071","title":"Correction: Narrative Expertise in Oncology: An Integrated Training Model to Advance the Field","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Empathy and Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Narrative; Training (meteorology); Process (computing); Field training","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":[],"consensus_categories":[],"category_scores_codex":[0.0001088126,0.00006568313,0.0001356098,0.00006071026,0.00005337069,0.00000467921,0.00005545194,0.00007958705,0.0001640082],"category_scores_gemma":[0.0003834835,0.00004359803,0.00002101619,0.0003327277,0.00003078896,0.00005920153,0.000008872776,0.0002931484,0.000002256923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003190389,"about_ca_system_score_gemma":0.0009092676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002628997,"about_ca_topic_score_gemma":0.001889079,"domain_scores_codex":[0.9994767,0.00003626776,0.0001321449,0.0001546596,0.00007535442,0.0001248953],"domain_scores_gemma":[0.999611,0.00009233944,0.00002284358,0.0001287797,0.00006544565,0.0000796325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003592006,0.0001239907,0.0002145187,0.000009330773,0.000008602946,0.000003642632,0.3741942,0.0008071933,0.0004044747,0.00006011567,0.06913251,0.5546822],"study_design_scores_gemma":[0.002266766,0.001082691,0.008819505,0.001608543,0.00003926758,0.000009639587,0.5965378,0.126361,0.004164719,0.0003776078,0.258506,0.0002264092],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8885581,0.0006690971,0.006469515,0.08732108,0.002825736,0.0009001751,0.000002095486,0.00005903106,0.0131951],"genre_scores_gemma":[0.9557038,0.00004965458,0.0003320723,0.0323608,0.0001563911,0.001037791,0.00000471267,0.000004892644,0.0103499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5544558,"threshold_uncertainty_score":0.1795775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04158730234175186,"score_gpt":0.4435683944936035,"score_spread":0.4019810921518517,"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."}}