{"id":"W6894110373","doi":"10.5281/zenodo.7930158","title":"Hammers Atlas Registered to ICBM","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Atlas (anatomy); Hammer; Hyperintensity; Nonlinear system","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":[0.001374408,0.0009350281,0.0008135011,0.003988189,0.001095547,0.002528242,0.001293685,0.002111892,0.06044408],"category_scores_gemma":[0.003517761,0.0007256486,0.001001169,0.002988839,0.0007105992,0.001432096,0.001627187,0.001657086,0.02177935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293312,"about_ca_system_score_gemma":0.004022125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02489477,"about_ca_topic_score_gemma":0.02365463,"domain_scores_codex":[0.9993914,0.00005747204,0.00006625553,0.0002159964,0.0001994758,0.00006944335],"domain_scores_gemma":[0.9993104,0.000110879,0.00004299353,0.0002438041,0.0002478072,0.00004414327],"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":[0.001526123,0.0001183792,0.005606536,0.001860066,0.0002646675,0.001348427,0.001067166,0.01478965,0.05742731,0.03580164,0.4715868,0.4086033],"study_design_scores_gemma":[0.0002135483,0.000288694,0.02790533,0.0007924542,0.0003374457,0.008705765,0.0005658491,0.05901262,0.07845896,0.0293045,0.7941123,0.0003025718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.06814865,0.004306617,0.5102959,0.003033214,0.002262116,0.002220075,0.1398347,0.0511822,0.2187166],"genre_scores_gemma":[0.3092984,0.00285738,0.4320993,0.001908617,0.0005202519,0.002344578,0.118781,0.01884769,0.1133429],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06044408,"threshold_uncertainty_score":0.2022056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0692075806079426,"score_gpt":0.3009716558456124,"score_spread":0.2317640752376698,"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."}}