{"id":"W2006799115","doi":"10.1038/sj.onc.1207795","title":"Modeling of lung cancer by an orthotopically growing H460SM variant cell line reveals novel candidate genes for systemic metastasis","year":2004,"lang":"en","type":"article","venue":"Oncogene","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; Princess Margaret Cancer Centre; SickKids Foundation; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute","keywords":"Biology; Cancer research; Gene expression profiling; Lung cancer; Metastasis; In silico; Adenocarcinoma; Pathology; Primary tumor; Microarray; Candidate gene; Gene; Cancer; Gene expression; Medicine; Genetics","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":[0.0001335272,0.0004012073,0.0003210066,0.0002392517,0.0001833372,0.0004068771,0.0002176127,0.0003171548,0.001420873],"category_scores_gemma":[0.00009387292,0.0001654749,0.0003123087,0.0001582728,0.0002434814,0.0001977565,0.0001549078,0.0004850412,0.0004578221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000377837,"about_ca_system_score_gemma":0.0002669038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002721182,"about_ca_topic_score_gemma":0.00280462,"domain_scores_codex":[0.9998751,0.00001492775,0.000007657373,0.00002956411,0.00004287108,0.00002993435],"domain_scores_gemma":[0.9999156,0.00001910644,0.00002075089,0.00001572088,0.000009856131,0.00001896371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008997579,0.0000350247,0.0004825093,0.00000833346,0.00000327436,0.00006149594,0.00001291916,0.000523685,0.9978458,0.0004013389,0.00004424122,0.0004914288],"study_design_scores_gemma":[0.00001277018,0.0001790395,0.002115013,0.000001095283,0.00001203624,0.0002483315,0.00003573585,0.008489681,0.9877306,0.0001121449,0.001059859,0.000003810555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989127,0.0002717862,0.008441559,0.0001031184,0.00001642503,0.00002876086,0.000478647,0.0001269931,0.001405814],"genre_scores_gemma":[0.9921182,0.0001499546,0.004297363,0.00002250045,0.000003797606,0.00002264591,0.0004654558,0.00004400087,0.002876064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002721182,"threshold_uncertainty_score":0.005410731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002874397999799,"score_gpt":0.3195440062920167,"score_spread":0.2995152623120187,"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."}}