{"id":"W6902104817","doi":"10.6084/m9.figshare.27149871","title":"Additional file 1 of ScRNAbox: empowering single-cell RNA sequencing on high performance computing systems","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":"McGill University","funders":"","keywords":"Key (lock); Supercomputer; Service (business); Identification (biology); Field (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002979609,0.002788107,0.003081642,0.003268288,0.00160301,0.002806808,0.005249027,0.002615742,0.8236675],"category_scores_gemma":[0.01527007,0.002543583,0.001665186,0.003617539,0.0007114828,0.002679119,0.002119493,0.002653496,0.3748278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529858,"about_ca_system_score_gemma":0.002372464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003494228,"about_ca_topic_score_gemma":0.009496314,"domain_scores_codex":[0.998434,0.0002261182,0.000149086,0.0004655757,0.0004512269,0.0002739104],"domain_scores_gemma":[0.9873028,0.009045037,0.0004868757,0.00122818,0.001100349,0.0008368368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003459358,0.0001157135,0.0005343746,0.002347813,0.00006840692,0.00009338177,0.00004961039,0.0009774084,0.001867864,0.001413523,0.9853982,0.006787811],"study_design_scores_gemma":[0.005002265,0.0003573437,0.008147849,0.001329507,0.0002870587,0.0005791163,0.000124411,0.0117548,0.01966554,0.0236701,0.9286005,0.000481549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0002967075,0.00007667417,0.004799798,0.0001293349,0.0001900268,0.0001312766,0.9774957,0.01438657,0.00249386],"genre_scores_gemma":[0.006111776,0.000235235,0.02789378,0.001180102,0.0001990247,0.001898222,0.9295101,0.02471912,0.008252667],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8236675,"threshold_uncertainty_score":0.2515168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457705457125527,"score_gpt":0.2174401030032103,"score_spread":0.192863048431955,"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."}}