{"id":"W4393757232","doi":"10.5281/zenodo.10144049","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":"Institut universitaire de cardiologie et de pneumologie de Québec; Université Laval","funders":"","keywords":"Biology; RNA; Nucleus; Cell; Computational biology; 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":[0.002877961,0.002121462,0.00211791,0.002186095,0.001131672,0.002265601,0.002519525,0.002523287,0.02154467],"category_scores_gemma":[0.00464769,0.0006723493,0.00146167,0.002904221,0.0006790209,0.0005879839,0.001928458,0.00182681,0.03225967],"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":0.01517534,"domain_scores_codex":[0.9976993,0.0003589393,0.0002536502,0.0009212313,0.0004908463,0.0002759592],"domain_scores_gemma":[0.997398,0.0009676912,0.0001878124,0.0009098068,0.0003404073,0.0001962616],"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":[0.001954292,0.0002561774,0.01455651,0.006474694,0.0008720259,0.0005543537,0.0002266684,0.005039327,0.03381043,0.002560111,0.9072269,0.02646845],"study_design_scores_gemma":[0.001071209,0.0002221454,0.03771953,0.0006160011,0.000516745,0.000999369,0.0001726067,0.003394193,0.02142571,0.005998836,0.9277222,0.0001414273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002714552,0.0003091169,0.0008471955,0.0000717295,0.00004560491,0.00002986981,0.9940666,0.0007891016,0.001126203],"genre_scores_gemma":[0.001876319,0.00006342993,0.0009840511,0.00005963727,0.000004445091,0.00008871439,0.9964048,0.0001208731,0.0003977299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02154467,"threshold_uncertainty_score":0.07207406,"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."}}