{"id":"W4416822418","doi":"10.1016/j.jlb.2025.100449","title":"Cancer in a drop: Liquid biopsy highlights from the World Conference on Lung Cancer (WCLC) 2025","year":2025,"lang":"en","type":"article","venue":"The Journal of Liquid Biopsy","topic":"Lung Cancer Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Institutes of Health","keywords":"Liquid biopsy; Lung cancer; Biopsy; Targeted therapy; Disease; Cancer; Malignancy; Minimal residual disease","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":[0.003860073,0.0007674833,0.0006572357,0.00135077,0.0007395204,0.002782761,0.001048669,0.003151953,0.01181652],"category_scores_gemma":[0.005721174,0.0002679481,0.000947114,0.0008735482,0.0008332295,0.002575697,0.001786656,0.00516409,0.005231243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002301601,"about_ca_system_score_gemma":0.003291401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003694141,"about_ca_topic_score_gemma":0.008394937,"domain_scores_codex":[0.9987139,0.0002576481,0.0001260343,0.0001727849,0.0005675148,0.0001620593],"domain_scores_gemma":[0.9955848,0.0009162314,0.0002574705,0.0001000601,0.002068537,0.001072921],"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":[0.000109458,0.00003332868,0.0006711453,0.000864931,0.00002137872,0.0004239393,0.00005439485,0.0001086095,0.0008323808,0.002365597,0.7709841,0.2235308],"study_design_scores_gemma":[0.00001143148,0.00005276089,0.0009133743,0.0008499769,0.00001793218,0.0007482051,0.00007396691,0.00007032622,0.0002697973,0.000711533,0.9962645,0.00001617025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002295995,0.5228416,0.002918041,0.2865547,0.1565219,0.0001658699,0.0008048909,0.0003448523,0.02755211],"genre_scores_gemma":[0.01957756,0.5832421,0.004361849,0.1692102,0.1752617,0.0002375903,0.002607502,0.0003244128,0.0451771],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01181652,"threshold_uncertainty_score":0.03953022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03997133060888815,"score_gpt":0.3780679746078897,"score_spread":0.3380966439990016,"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."}}