{"id":"W2100431264","doi":"10.1158/1538-7445.am2014-4972","title":"Abstract 4972: In vivo whole genome shRNA screen reveals novel targets to block cancer metastasis","year":2014,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metastasis; Cancer; Cancer research; Gene knockdown; Prostate cancer; Small hairpin RNA; Biology; Cancer cell; Melanoma; Medicine; Pathology; Gene; 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":[0.0001767146,0.0004555073,0.0005105269,0.0004420965,0.0002014395,0.0002905359,0.0002499309,0.0002882369,0.002537074],"category_scores_gemma":[0.0001214333,0.0001447388,0.0002677183,0.0002781322,0.0001576161,0.0001143231,0.0001662256,0.0004159194,0.0008178358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002605628,"about_ca_system_score_gemma":0.0002897661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007687679,"about_ca_topic_score_gemma":0.001488556,"domain_scores_codex":[0.9998577,0.00001545631,0.00001365652,0.0000289103,0.00006025448,0.00002395862],"domain_scores_gemma":[0.999944,0.00001275677,0.00001245568,0.000005662544,0.00001382509,0.00001132218],"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":[0.00004339532,0.00002589326,0.0001926099,0.00003245269,0.000007572534,0.00004864214,0.000004648023,0.0001350239,0.9966797,0.00008546428,0.0003749885,0.002369731],"study_design_scores_gemma":[0.0000372037,0.0004798743,0.0045956,0.000006209848,0.00005289175,0.000244555,0.00001285387,0.00162407,0.9862671,0.00006791675,0.00660317,0.000008617657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547324,0.006546639,0.01996311,0.0007258576,0.0002534015,0.0004236778,0.008032045,0.001356404,0.007966545],"genre_scores_gemma":[0.9497738,0.005118095,0.01569864,0.000430398,0.00006170807,0.000325154,0.01133113,0.0002319175,0.01702907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002537074,"threshold_uncertainty_score":0.008487344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.058329989684893,"score_gpt":0.3997125445801029,"score_spread":0.3413825548952099,"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."}}