{"id":"W2801975162","doi":"10.1371/journal.pone.0196892","title":"Spatiotemporal assessment of spontaneous metastasis formation using multimodal in vivo imaging in HER2+ and triple negative metastatic breast cancer xenograft models in mice","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Sunnybrook Health Science Centre; University of Toronto; University Health Network","funders":"Mitacs","keywords":"Metastasis; Metastatic breast cancer; Medicine; Positron emission tomography; Bioluminescence imaging; Breast cancer; Primary tumor; In vivo; Cancer; Pathology; Cancer research; Nuclear medicine; Internal medicine; Cell culture; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003378768,0.0005063409,0.0003026509,0.0004319437,0.0001587629,0.0002669376,0.0002309656,0.0003374715,0.001025155],"category_scores_gemma":[0.00008929738,0.0001907373,0.0002885806,0.0002426167,0.0001806565,0.0002683731,0.000191604,0.00067902,0.0002663768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003639442,"about_ca_system_score_gemma":0.0002370686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001359362,"about_ca_topic_score_gemma":0.001956793,"domain_scores_codex":[0.9998366,0.0000283261,0.00001266954,0.00004185839,0.00004446651,0.00003614222],"domain_scores_gemma":[0.9998689,0.00001950054,0.00004678448,0.00001390785,0.0000231041,0.00002770893],"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":[0.0001034946,0.00006511083,0.0003028679,0.00002747098,0.000004290354,0.00003138251,0.00001585516,0.00009024129,0.9986688,0.00003396059,0.0000315146,0.0006251002],"study_design_scores_gemma":[0.00002072165,0.001085959,0.005450007,0.000006769954,0.00002763576,0.0002682439,0.0000359245,0.002108556,0.9901543,0.00002804214,0.0008061593,0.00000757557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814978,0.001774945,0.01344878,0.00007574211,0.00002364457,0.0001809059,0.000977376,0.0002447148,0.001776108],"genre_scores_gemma":[0.9789347,0.001563933,0.01364584,0.00004135254,0.00001139572,0.0004258523,0.001080518,0.00004522679,0.004251047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001359362,"threshold_uncertainty_score":0.003429532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04243619620580858,"score_gpt":0.3249436054550138,"score_spread":0.2825074092492052,"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."}}