{"id":"W2091070104","doi":"10.1155/2015/621324","title":"Preclinical Murine Models for Lung Cancer: Clinical Trial Applications","year":2015,"lang":"en","type":"review","venue":"BioMed Research International","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Clinical trial; Lung cancer; Medicine; Cancer; Intensive care medicine; Preclinical testing; Medical physics; Bioinformatics; Oncology; Pathology; Internal medicine; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.002886559,0.0002960696,0.0013207,0.0006766182,0.0001563864,0.00008950182,0.0005980112,0.0004999185,0.0002683863],"category_scores_gemma":[0.0006737672,0.0002153706,0.0009111993,0.0004903058,0.0003062366,0.0001067496,0.0002255636,0.0008100198,0.00006188479],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459497,"about_ca_system_score_gemma":0.006209902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006840028,"about_ca_topic_score_gemma":0.00001237526,"domain_scores_codex":[0.9956745,0.0003010441,0.001404568,0.000839402,0.001297956,0.0004825295],"domain_scores_gemma":[0.9952725,0.001387327,0.0003346379,0.0005847565,0.001858679,0.0005621293],"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":[0.002555937,0.001151158,0.000008950352,0.002743481,0.002344736,0.000008354061,0.0000158633,0.000001691885,4.675295e-8,0.001743076,0.1235402,0.8658865],"study_design_scores_gemma":[0.02396744,0.0005965588,0.000001530021,0.002441708,0.001367095,0.00001526647,0.000008456587,0.001328576,1.149457e-7,0.0006229653,0.9694776,0.0001726671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001734799,0.9727932,0.002461374,0.001715831,0.0032846,0.01224393,0.00226709,0.00007143949,0.005160811],"genre_scores_gemma":[0.000005138254,0.9407798,0.00280881,0.00004824936,0.009712911,0.02572908,0.00460923,0.00007893748,0.01622784],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8657138,"threshold_uncertainty_score":0.999424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6492250830308651,"score_gpt":0.7138985774200368,"score_spread":0.06467349438917169,"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."}}