{"id":"W1979878315","doi":"10.1371/journal.pone.0040217","title":"Phenotypic Characterization of Prostate Cancer LNCaP Cells Cultured within a Bioengineered Microenvironment","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Health and Medical Research Council; Queensland University of Technology; Prostate Cancer Foundation of Australia; Australian Prostate Cancer Research; Prostate Cancer Foundation","keywords":"LNCaP; Extracellular matrix; Cell biology; Tumor microenvironment; Matrigel; Androgen receptor; Biology; Chemistry; Cancer cell; Prostate cancer; Cancer research; Cell; Cancer; Biochemistry","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":[0.0001072934,0.0001493079,0.0001492966,0.0001634401,0.0001331278,0.0002222569,0.00009306079,0.0001442109,0.0004031584],"category_scores_gemma":[0.00009033826,0.00008370994,0.0001253658,0.0002020381,0.0001139612,0.0001159793,0.0001097397,0.0001843792,0.0001920214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001514686,"about_ca_system_score_gemma":0.0001221816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185961,"about_ca_topic_score_gemma":0.001388871,"domain_scores_codex":[0.999911,0.00001338694,0.000007692328,0.00001875547,0.00003402122,0.00001514526],"domain_scores_gemma":[0.9999048,0.00002517928,0.00001574535,0.00001206404,0.00002475549,0.0000174107],"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":[0.00001608545,0.00001041647,0.0003708115,0.00001646527,0.00000142941,0.00004061293,0.00004021089,0.00006336965,0.9988576,0.00001871446,0.00000752126,0.0005567313],"study_design_scores_gemma":[0.000004597597,0.0001681236,0.02666924,0.000005418186,0.00001659003,0.0002590821,0.00009508031,0.001489168,0.9698946,0.00002034159,0.001368342,0.000009386308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932372,0.0008202752,0.003756683,0.00003483519,0.00001279161,0.00002484715,0.000371412,0.00004171095,0.001700313],"genre_scores_gemma":[0.9907014,0.0008284691,0.005034047,0.00005197767,0.00001147012,0.00008375624,0.0006230468,0.00001725173,0.002648536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001185961,"threshold_uncertainty_score":0.002358079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132940491712516,"score_gpt":0.1977909270283311,"score_spread":0.1844968778570795,"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."}}