{"id":"W7117145747","doi":"10.5281/zenodo.17646068","title":"AMVICC Image Results & Evaluations","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College","funders":"","keywords":"Image (mathematics); Relation (database); Documentation; Benchmark (surveying); Image processing; Test (biology)","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002936909,0.0003748293,0.0003244025,0.0008513546,0.008295529,0.004542743,0.005003733,0.000177093,0.006259318],"category_scores_gemma":[0.004896512,0.0004472364,0.0001593101,0.003579778,0.0004925157,0.0007985985,0.005381733,0.001005891,0.03330768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004791723,"about_ca_system_score_gemma":0.00004525504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001750052,"about_ca_topic_score_gemma":8.817003e-7,"domain_scores_codex":[0.994355,0.001532994,0.0009132745,0.001500223,0.0008683949,0.0008301054],"domain_scores_gemma":[0.9942164,0.0001885792,0.0003755043,0.002479549,0.002393685,0.0003462619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009837066,0.0005417212,0.000004160265,0.0001212895,0.0001239607,0.000009414088,0.002841243,0.00125252,0.005635595,0.09164441,0.2656237,0.6321036],"study_design_scores_gemma":[0.001394442,0.0002030617,0.006052444,0.0001324902,0.00005849083,0.00004016606,0.0001394351,0.1471495,0.0004262297,0.001933848,0.8420963,0.0003736192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00300083,0.0002297694,0.476227,0.02518054,0.0004696924,0.001549067,0.0005523476,0.0022403,0.4905505],"genre_scores_gemma":[0.97363,0.0001706927,0.01396476,0.0007274353,0.0002665249,3.712053e-7,0.002048139,0.001453391,0.007738695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9706292,"threshold_uncertainty_score":0.9997979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03376656010708667,"score_gpt":0.3214794476973359,"score_spread":0.2877128875902492,"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."}}