{"id":"W6939551331","doi":"10.6084/m9.figshare.26669820.v1","title":"Additional file 5 of DeepVelo: deep learning extends RNA velocity to multi-lineage systems with cell-specific kinetics","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Vector Institute; McMaster University; University of Toronto; University Health Network","funders":"","keywords":"Deep learning; Table (database); Order (exchange); Key (lock); Kinetics","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":[0.0009207429,0.002803599,0.001726162,0.001779132,0.0008290309,0.002407191,0.003188611,0.002619539,0.4006307],"category_scores_gemma":[0.006235855,0.000847853,0.001746544,0.002663778,0.0005436614,0.001565999,0.001572452,0.0020635,0.1705608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332944,"about_ca_system_score_gemma":0.001585437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009580086,"about_ca_topic_score_gemma":0.02464801,"domain_scores_codex":[0.9994648,0.0000668797,0.00004227828,0.000218346,0.0001064628,0.0001011107],"domain_scores_gemma":[0.9978495,0.001317581,0.0001243816,0.0003117281,0.000260722,0.0001360687],"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":[0.0001041719,0.00005114458,0.001538323,0.001270416,0.00005611126,0.00003276798,0.00001803259,0.001548624,0.0002545134,0.0005925617,0.9904743,0.004059087],"study_design_scores_gemma":[0.001397661,0.0001195992,0.005919063,0.0007944782,0.0001332377,0.0002137404,0.00009290717,0.007025503,0.002388639,0.01194752,0.9698612,0.0001064177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001414395,0.00004480927,0.0002575266,0.00003929393,0.00002479637,0.00001148338,0.9982176,0.0009057848,0.0003572401],"genre_scores_gemma":[0.001344861,0.00005909356,0.001240816,0.0001119163,0.00001558894,0.0001602835,0.995256,0.0004659002,0.001345567],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4006307,"threshold_uncertainty_score":0.8549277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330560062991481,"score_gpt":0.2139215931189839,"score_spread":0.1906159924890691,"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."}}