{"id":"W4399477934","doi":"10.1101/2024.06.09.598157","title":"A robust protocol for the systematic collection and expansion of cells from ER <sup>+</sup> breast cancer tumors and their matching tumor-adjacent tissues","year":2024,"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":"University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Breast cancer; Protocol (science); Matching (statistics); Cancer; Medicine; Oncology; Computer science; Biology; Internal medicine; Pathology; Alternative medicine","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":[0.00174603,0.001225905,0.001117222,0.001309161,0.001057457,0.001097478,0.001275952,0.0008446106,0.005514387],"category_scores_gemma":[0.001461939,0.0007922506,0.0007544549,0.001057888,0.0006499314,0.0004507996,0.00161155,0.001937216,0.01031196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003364052,"about_ca_system_score_gemma":0.00119824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004297415,"about_ca_topic_score_gemma":0.001360838,"domain_scores_codex":[0.998066,0.0003377286,0.0004183927,0.0004538008,0.0005355675,0.0001884609],"domain_scores_gemma":[0.9989651,0.0001915697,0.0001117326,0.0003661459,0.0002787233,0.00008660257],"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":[0.0001015424,0.0000873654,0.0002785171,0.0002047016,0.0000154774,0.0002493109,0.0001185044,0.0002763596,0.981669,0.0008436965,0.002302527,0.01385298],"study_design_scores_gemma":[0.00007291209,0.0003659392,0.003413982,0.0001548783,0.00006900901,0.0008385462,0.0001281144,0.002161153,0.8755897,0.0007079439,0.1164334,0.00006440774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.07565624,0.003568508,0.8637981,0.0007622525,0.000965715,0.01951762,0.01617013,0.005054935,0.01450646],"genre_scores_gemma":[0.1301302,0.005306756,0.7628048,0.0009340647,0.0002618089,0.0466198,0.03604945,0.001478994,0.01641407],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.005514387,"threshold_uncertainty_score":0.01844746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295160644242532,"score_gpt":0.2523454756878654,"score_spread":0.22939386924544,"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."}}