{"id":"W2740617618","doi":"10.1158/1538-7445.am2017-2558","title":"Abstract 2558: MYC-dependent transformation model of triple-negative breast cancer in vivo","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Breast cancer; Cancer research; Myoepithelial cell; Triple-negative breast cancer; PI3K/AKT/mTOR pathway; In vivo; Cancer; Medicine; Biology; Pathology; Internal medicine; Signal transduction; Immunohistochemistry; Cell 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":[0.0002763562,0.0004332177,0.000294877,0.0006159653,0.0002341398,0.0002504359,0.0003131295,0.0005796863,0.002892752],"category_scores_gemma":[0.0001140239,0.0001895034,0.0003888762,0.0002370315,0.000240522,0.0002115004,0.000204148,0.001020663,0.0009578523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000527502,"about_ca_system_score_gemma":0.000280459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002002171,"about_ca_topic_score_gemma":0.001890273,"domain_scores_codex":[0.9996866,0.00004054272,0.00003269496,0.00006975568,0.0001074421,0.00006295888],"domain_scores_gemma":[0.9997277,0.00004167714,0.00005774414,0.00004359853,0.00002529144,0.0001040303],"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":[0.0002070963,0.0002146103,0.0002086219,0.00002110522,0.000006140902,0.0001367625,0.00003270552,0.0001203401,0.997729,0.000303383,0.0001740282,0.0008462387],"study_design_scores_gemma":[0.00005281873,0.001600555,0.002833211,0.000008928389,0.00001788443,0.0007842355,0.00005273151,0.002870629,0.9881193,0.0001298913,0.003521202,0.000008672272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839439,0.0006246796,0.005480038,0.0003652886,0.0001557649,0.0002113243,0.002554623,0.0002815017,0.006382858],"genre_scores_gemma":[0.9822083,0.0003566033,0.004639508,0.000126221,0.00001621844,0.0001849229,0.001698648,0.00006019655,0.01070937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002892752,"threshold_uncertainty_score":0.009677231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041718053587989,"score_gpt":0.4460732124803241,"score_spread":0.3419014071215252,"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."}}