{"id":"W4393484895","doi":"10.5281/zenodo.10144050","title":"Single-cell and single-nucleus RNA-sequencing from paired normal-adenocarcinoma lung samples provides both common and discordant biological insights","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Nucleus; Cell; RNA; Biology; Computational biology; Molecular biology; Chemistry; Genetics; Cell biology; Gene","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":[0.002877957,0.002121462,0.002117908,0.002186091,0.001131671,0.002265601,0.002519522,0.002523285,0.02154464],"category_scores_gemma":[0.004647688,0.0006723484,0.001461669,0.002904218,0.00067902,0.0005879839,0.001928456,0.00182681,0.03225966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181092,"about_ca_system_score_gemma":0.002244673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006176161,"about_ca_topic_score_gemma":0.01517535,"domain_scores_codex":[0.9976993,0.000358939,0.0002536497,0.0009212301,0.0004908452,0.0002759589],"domain_scores_gemma":[0.997398,0.0009676884,0.0001878121,0.0009098041,0.0003404065,0.0001962612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001954288,0.000256177,0.01455648,0.00647469,0.0008720254,0.0005543522,0.0002266678,0.005039324,0.03381032,0.002560106,0.9072272,0.02646841],"study_design_scores_gemma":[0.001071208,0.0002221452,0.03771943,0.0006160008,0.0005167446,0.0009993671,0.0001726061,0.003394188,0.02142566,0.005998825,0.9277223,0.000141427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002714549,0.0003091169,0.0008471943,0.00007172956,0.00004560491,0.00002986981,0.9940666,0.0007891013,0.001126202],"genre_scores_gemma":[0.001876317,0.00006342999,0.0009840498,0.00005963727,0.000004445083,0.00008871439,0.9964048,0.0001208729,0.0003977297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02154464,"threshold_uncertainty_score":0.072074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04959174164633226,"score_gpt":0.2332999999693121,"score_spread":0.1837082583229798,"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."}}