{"id":"W2975155631","doi":"10.1101/782086","title":"Gels for Live Analysis of Compartmentalized Environments (GLAnCE): A Tissue Model to Probe Tumour Phenotypes at Tumour-Stroma Interfaces","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Stroma; Stromal cell; Paracrine signalling; Biology; Cell biology; Phenotype; Cancer cell; Tumor microenvironment; Cell; Cancer research; Tumour heterogeneity; Cancer; Immunology; Gene; Genetics; Tumor cells; Immunohistochemistry","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":[0.0004226523,0.0007693662,0.0002234756,0.0005527818,0.0003456927,0.0004697758,0.0005215356,0.0006363509,0.00198383],"category_scores_gemma":[0.000152048,0.0004252772,0.0002753865,0.0002774085,0.0004704965,0.0005922571,0.0005461258,0.001047594,0.0007321446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306178,"about_ca_system_score_gemma":0.0002409356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008514155,"about_ca_topic_score_gemma":0.001994759,"domain_scores_codex":[0.999734,0.00005924944,0.00001546705,0.00008739447,0.00006731215,0.00003655851],"domain_scores_gemma":[0.9997613,0.00007320787,0.00007128153,0.00004296508,0.00002383151,0.00002738559],"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":[0.00001956108,0.000008346027,0.00005430602,0.00004092417,0.000002414083,0.00003899099,0.00002817682,0.0001407334,0.9982961,0.0002650558,0.00008524078,0.001020351],"study_design_scores_gemma":[0.00001476859,0.0001249905,0.001583878,0.00002206869,0.00001534021,0.0004207604,0.0000349063,0.0054883,0.9844862,0.0002214741,0.007569073,0.0000182293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5503083,0.00554269,0.4291344,0.0006332034,0.000145783,0.0003298424,0.002542454,0.003381701,0.007981631],"genre_scores_gemma":[0.6067429,0.003835952,0.3711076,0.0002373288,0.00005095175,0.0007894607,0.002118459,0.0007913142,0.0143261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00198383,"threshold_uncertainty_score":0.00663656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516147791298834,"score_gpt":0.269047664594548,"score_spread":0.2438861866815597,"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."}}