{"id":"W7036853398","doi":"","title":"Data Augmentation, Labelling, and Imperfections: Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings","year":2024,"lang":"en","type":"book","venue":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Triacetin; Emperipolesis; Demotion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009735148,0.002320126,0.002571325,0.00268358,0.001428682,0.005400078,0.005064662,0.002987766,0.01541799],"category_scores_gemma":[0.01264722,0.001978504,0.001633022,0.005054389,0.001964146,0.004829694,0.002693898,0.00501008,0.0124823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003944571,"about_ca_system_score_gemma":0.004030728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0547048,"about_ca_topic_score_gemma":0.08570666,"domain_scores_codex":[0.9971749,0.0005800385,0.0002102151,0.0006631346,0.001229946,0.0001418531],"domain_scores_gemma":[0.9934209,0.002109934,0.0001061697,0.001309077,0.002808343,0.0002455483],"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":[0.00007638059,0.00003438917,0.0001025133,0.0002028575,0.00005826733,0.00004096234,0.00005785184,0.004487426,0.0009258598,0.005497938,0.5093872,0.4791284],"study_design_scores_gemma":[0.00004752653,0.00007488712,0.001463369,0.0003716819,0.0001110658,0.0004942135,0.0001604697,0.1629484,0.007598156,0.06125644,0.7653438,0.0001300258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003581561,0.07665829,0.8283365,0.0172027,0.01418454,0.0003808948,0.005501708,0.02535952,0.02879431],"genre_scores_gemma":[0.02334934,0.03123,0.7848316,0.004120862,0.003778752,0.000642021,0.01815332,0.00814007,0.1257541],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0547048,"threshold_uncertainty_score":0.1087728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03087289470964797,"score_gpt":0.2238377625902847,"score_spread":0.1929648678806367,"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."}}