{"id":"W3033287977","doi":"10.21037/tlcr-20-154","title":"Patient-derived cell line, xenograft and organoid models in lung cancer therapy","year":2020,"lang":"en","type":"review","venue":"Translational Lung Cancer Research","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Lung cancer; Organoid; Clearance; Clinical trial; Cancer; Cancer cell lines; Cancer therapy; Oncology; Bioinformatics; Cancer research; Cancer cell; Internal medicine; Biology; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004586626,0.0005007273,0.001629021,0.000607467,0.0001441704,0.00006682071,0.0002147526,0.000326474,0.00126146],"category_scores_gemma":[0.00001085879,0.0004126804,0.0003419836,0.00142819,0.0001734763,0.0001491999,0.00006164255,0.001559607,0.000006946532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005580659,"about_ca_system_score_gemma":0.004082316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002039992,"about_ca_topic_score_gemma":0.0005911929,"domain_scores_codex":[0.9959214,0.0003381924,0.0007813688,0.0009158299,0.001326345,0.0007168619],"domain_scores_gemma":[0.9984969,0.0002842903,0.0001450371,0.0003323711,0.000339994,0.0004014267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003962045,0.0001544484,0.0001514505,0.02496363,0.0004592174,0.00006802411,0.001436415,0.0001825976,0.0003218776,0.00005684093,0.001645845,0.9701635],"study_design_scores_gemma":[0.002492556,0.0001688916,0.00002945256,0.008847992,0.000555163,0.00001123022,0.00003263972,0.001642618,0.0002801333,0.00005386843,0.985409,0.0004764624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004636142,0.9925317,0.000117629,0.001499973,0.0001625891,0.003493399,0.0007584849,0.00003766544,0.0009349743],"genre_scores_gemma":[0.001551465,0.9951399,0.0003324077,0.0001633295,0.000527113,0.001476177,0.0002864025,0.0001520532,0.0003711482],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9837632,"threshold_uncertainty_score":0.9998325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136169420596058,"score_gpt":0.4547635431572892,"score_spread":0.3185941225612313,"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."}}