{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007026416,0.00380948,0.00188665,0.003961442,0.001386225,0.00471963,0.005299549,0.002965239,0.04785641],"category_scores_gemma":[0.01790578,0.0007077135,0.001746409,0.002565036,0.00103313,0.002357302,0.002643944,0.002141965,0.03704507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003176325,"about_ca_system_score_gemma":0.001679835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970136,"about_ca_topic_score_gemma":0.01478948,"domain_scores_codex":[0.990153,0.001791321,0.0004325709,0.001184832,0.005552959,0.0008852447],"domain_scores_gemma":[0.9881372,0.001449552,0.0002861375,0.002567752,0.006966001,0.0005933409],"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":[0.002444969,0.0007270777,0.001121247,0.001740185,0.0002714281,0.0002490835,0.0001279043,0.02636357,0.01213998,0.004061704,0.7677975,0.1829554],"study_design_scores_gemma":[0.002262594,0.001939307,0.01136596,0.0008872139,0.000460495,0.0009233883,0.0004046419,0.2008555,0.09998962,0.01013617,0.6704076,0.0003674972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.08811388,0.01001064,0.09157854,0.003097995,0.005902641,0.003461664,0.1961492,0.2545843,0.3471012],"genre_scores_gemma":[0.1938301,0.001978025,0.1171754,0.00166299,0.0007268321,0.0018982,0.5541265,0.04589497,0.08270699],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.04785641,"threshold_uncertainty_score":0.1600957,"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."}}