{"id":"W6977002126","doi":"10.6084/m9.figshare.26600314","title":"Additional file 9 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Pipeline (software); Table (database); Scalability; Set (abstract data type); Data set; Data processing","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001511144,0.0001968589,0.0006757199,0.0004922965,0.0001191795,0.0002359122,0.0009183388,0.0001281186,0.8231011],"category_scores_gemma":[0.01178026,0.000152491,0.0001347703,0.0008998932,0.0001057986,0.000360078,0.0004826456,0.0001918055,0.00009852731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001393504,"about_ca_system_score_gemma":0.0002786355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004942593,"about_ca_topic_score_gemma":0.000554416,"domain_scores_codex":[0.9972771,0.0001727598,0.0009141704,0.0007021431,0.0007993001,0.000134467],"domain_scores_gemma":[0.9938827,0.003121432,0.0006831182,0.001458022,0.0007989937,0.00005570787],"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":[0.00001665691,0.00002572252,0.000001717185,0.00190725,0.0002114272,2.282308e-7,0.00006778204,0.00001073359,0.00002299768,9.811007e-8,0.996966,0.000769379],"study_design_scores_gemma":[0.00009532762,0.00003334428,0.00005704546,0.002959955,0.0006753496,0.000001296345,0.0002222152,0.003407469,0.0001287028,0.0004733795,0.9918034,0.000142518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007570013,0.001303491,0.000004431414,0.00007868861,0.0000260633,0.0004113464,0.998146,0.000007544481,0.00001487338],"genre_scores_gemma":[0.00001682417,0.00001714489,0.002227354,0.00005031423,0.00006141305,0.0003235678,0.9970755,0.000007700523,0.0002201608],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8230026,"threshold_uncertainty_score":0.9965439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2967069195279107,"score_gpt":0.3689802987462378,"score_spread":0.07227337921832705,"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."}}