{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006485061,0.0007271445,0.001955597,0.001319096,0.0002341928,0.001710077,0.001112486,0.001427513,0.00384972],"category_scores_gemma":[0.004639723,0.0002712089,0.001136893,0.001113132,0.0007733532,0.001216216,0.0006703278,0.002699675,0.001265491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006131697,"about_ca_system_score_gemma":0.001410453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004326082,"about_ca_topic_score_gemma":0.0008753989,"domain_scores_codex":[0.9988021,0.0005308638,0.0001294403,0.00009797514,0.0003861343,0.00005354773],"domain_scores_gemma":[0.9956743,0.002873192,0.0004818709,0.0001874628,0.0006356457,0.0001475364],"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":[0.001145607,0.0007264321,0.001203217,0.0331045,0.0005235002,0.0003790693,0.0001433821,0.00156103,0.01933283,0.01190653,0.03514608,0.8948278],"study_design_scores_gemma":[0.0003802718,0.004106427,0.002416241,0.01214662,0.0009355012,0.002526928,0.0001298095,0.0007910465,0.01122751,0.005639389,0.9596229,0.00007723267],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002139682,0.9846778,0.004294821,0.001631945,0.0007100627,0.0003668251,0.0003297126,0.0000777181,0.005771392],"genre_scores_gemma":[0.01212597,0.9790653,0.004944219,0.001116746,0.0004252784,0.0004523342,0.0004568361,0.00002474107,0.001388496],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006485061,"threshold_uncertainty_score":0.03429669,"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."}}