{"id":"W4397009006","doi":"10.17504/protocols.io.kxygxy9mwl8j/v1","title":"HiDEF-seq v1","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00008682232,0.0002542397,0.0001907631,0.00004351483,0.00002855118,0.0000824058,0.0002868591,0.0005291817,0.0001227225],"category_scores_gemma":[0.00001628359,0.0002254774,0.0002505436,0.00003455762,0.00004894088,3.402898e-7,0.0007178341,0.0003901537,0.0001683189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001513174,"about_ca_system_score_gemma":0.0001605421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001143454,"about_ca_topic_score_gemma":0.00009555129,"domain_scores_codex":[0.9988514,0.00002300647,0.0002137243,0.0005907285,0.0001095333,0.0002115837],"domain_scores_gemma":[0.9993288,0.000004151468,0.00003574942,0.000504361,0.00004928104,0.00007767859],"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":[0.00008450048,0.0001363497,0.0007920268,0.0006317592,0.0004294419,0.00003491619,0.00008362347,0.0002387681,0.8880523,0.001880395,0.09751487,0.01012105],"study_design_scores_gemma":[0.000458869,0.0002271157,0.0002283501,0.0001764937,0.0001822073,0.00002753486,0.00004011381,0.0007574559,0.5964366,0.01575367,0.3845329,0.001178718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8292905,0.0106897,0.004257875,0.001192902,0.005693659,0.0004811477,0.0001727896,0.0001855533,0.1480359],"genre_scores_gemma":[0.9716218,0.0006239385,0.001632806,0.0006261638,0.001102985,0.00002956241,0.0005119892,0.00006675063,0.02378401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2916157,"threshold_uncertainty_score":0.91947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707914603782543,"score_gpt":0.2512900597381824,"score_spread":0.234210913700357,"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."}}