{"id":"W6920959002","doi":"10.6084/m9.figshare.26333247.v1","title":"Additional file 1 of Single-cell decoding of drug induced transcriptomic reprogramming in triple negative breast cancers","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia; University of Toronto; BC Cancer Agency","funders":"","keywords":"Transcriptome; Reprogramming; Gene; Drug; Gene expression; Breast cancer","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003242792,0.0001387258,0.0001768327,0.00008986663,0.00002346049,0.00001826465,0.0001484922,0.0001190382,0.4975854],"category_scores_gemma":[0.0002657091,0.0001463566,0.0001454038,0.0002228389,0.0000183531,0.000009768743,0.00002567123,0.0001245623,0.00002462842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004956238,"about_ca_system_score_gemma":0.0002640744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009446577,"about_ca_topic_score_gemma":0.0004302485,"domain_scores_codex":[0.9990662,0.00003295795,0.0002884587,0.0003108982,0.0001152959,0.0001861687],"domain_scores_gemma":[0.9994767,0.0001582973,0.00008588096,0.0001520626,0.00008001331,0.00004706872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005547775,0.00006821946,0.000006813269,0.0002878929,0.00002653832,0.000005167107,0.0001957381,0.00002027939,0.2505532,5.970118e-7,0.7438589,0.004921187],"study_design_scores_gemma":[0.000846255,0.0002462256,0.0003935651,0.005236027,0.00001834899,0.00001959688,0.0003135521,0.000870139,0.7349284,0.00002334223,0.2567095,0.000395085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02607761,0.0003450993,0.000002335516,0.0000094341,0.00006809403,0.0001689423,0.9719704,0.00001544691,0.001342589],"genre_scores_gemma":[0.552851,0.000004015046,0.0003770187,0.00001986095,0.00008396815,0.0001684769,0.446217,0.00002347639,0.0002551443],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5267734,"threshold_uncertainty_score":0.5968248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358363288823493,"score_gpt":0.2317158980264716,"score_spread":0.2081322651382367,"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."}}