{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003429329,0.002858329,0.001747893,0.003313221,0.001379584,0.00325264,0.003763012,0.002249338,0.4152962],"category_scores_gemma":[0.016743,0.001132921,0.002114936,0.004274668,0.0006757118,0.002670696,0.002466734,0.002198488,0.1597472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661231,"about_ca_system_score_gemma":0.003208384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00968441,"about_ca_topic_score_gemma":0.02041543,"domain_scores_codex":[0.9982351,0.0002273965,0.0002447868,0.0006448476,0.0004164317,0.0002314178],"domain_scores_gemma":[0.9931874,0.003799081,0.0004644661,0.001135671,0.0009988038,0.0004145021],"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":[0.0002368792,0.00005600966,0.002368529,0.001776459,0.00008344786,0.00005675875,0.0000538931,0.0005938294,0.0005690116,0.0005987454,0.9892836,0.004322941],"study_design_scores_gemma":[0.001888353,0.0001409048,0.01305232,0.001120865,0.0001817779,0.0002621754,0.0002380699,0.003215488,0.003698062,0.007786623,0.9682232,0.0001922457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008264188,0.00001081339,0.0002323111,0.00003062869,0.00001383333,0.00002249399,0.9983291,0.001059394,0.0002188269],"genre_scores_gemma":[0.0009107551,0.00002523718,0.001990033,0.00008021033,0.00001280213,0.0002871155,0.9954333,0.0006267063,0.000633925],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4152962,"threshold_uncertainty_score":0.834009,"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."}}