{"id":"W4416101446","doi":"10.1136/thorax-2025-btsabstracts.490","title":"M6 Make every contact count- opportunistic lung cancer screening and smoking cessation at a community diagnostic centre","year":2025,"lang":"","type":"article","venue":"","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Referral; Lung cancer screening; Smoking cessation; Lung cancer; Quarter (Canadian coin); Cancer; Case finding","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007203405,0.0001909295,0.0001703382,0.0006356839,0.001558149,0.0009179517,0.0008147187,0.0007744454,0.03460049],"category_scores_gemma":[0.003617018,0.0002019495,0.0002964988,0.0006638789,0.0003573058,0.0005995036,0.001835753,0.0007239425,0.002880718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779919,"about_ca_system_score_gemma":0.00373227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04369527,"about_ca_topic_score_gemma":0.09653563,"domain_scores_codex":[0.9990258,0.0002322698,0.00006489739,0.0001210334,0.0001901106,0.00036585],"domain_scores_gemma":[0.995561,0.0002860713,0.0007155163,0.0001404143,0.0003516952,0.002945333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000163217,0.0008966227,0.8145607,0.0003139846,0.00004134465,0.001378764,0.001113436,0.0001425856,0.001214278,0.0005560918,0.07433245,0.1052865],"study_design_scores_gemma":[0.00006716749,0.0005358709,0.9576371,0.0003516251,0.00002074558,0.001879345,0.002912475,0.0007950466,0.0003798006,0.0003416128,0.03505541,0.0000237763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8962699,0.001205356,0.002160059,0.01745318,0.000510863,0.001789658,0.008993186,0.0006353162,0.07098267],"genre_scores_gemma":[0.9818918,0.0004155195,0.002772716,0.004123645,0.000282534,0.0004079986,0.001463021,0.00003348903,0.008609275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04369527,"threshold_uncertainty_score":0.1157502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266270464615255,"score_gpt":0.3182837863409106,"score_spread":0.2916567398793851,"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."}}