{"id":"W4412570668","doi":"10.61092/iaea.h1w5-dtyy","title":"Development of Java GAMUT (JGAMUT) – Adopted Levels, Gammas Evaluator Assistant Code","year":2016,"lang":"en","type":"report","venue":"","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Gamut; Java; Computer science; Code (set theory); Programming language; Operating system; Computer graphics (images); Artificial intelligence","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":[0.005507511,0.001706482,0.001082782,0.002030246,0.0005700554,0.003053952,0.003264846,0.0008912795,0.04410965],"category_scores_gemma":[0.02151936,0.001502534,0.001475859,0.001225903,0.0007503018,0.002174689,0.002904877,0.00283326,0.03148764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075171,"about_ca_system_score_gemma":0.002281684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002347379,"about_ca_topic_score_gemma":0.002872452,"domain_scores_codex":[0.9970354,0.0004707965,0.0002986347,0.0005923058,0.001355772,0.000247029],"domain_scores_gemma":[0.9913729,0.003459784,0.0005640089,0.001197261,0.003077069,0.0003290513],"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":[0.001259896,0.0003840991,0.008500649,0.001493931,0.0002636138,0.0007319953,0.00129177,0.02088105,0.02368526,0.02499236,0.3322938,0.5842216],"study_design_scores_gemma":[0.0007118661,0.000235379,0.008854303,0.0009462869,0.0001482981,0.001226948,0.0004141912,0.2905155,0.08416488,0.03954157,0.5728557,0.0003850281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004701537,0.0001972269,0.68265,0.0002666716,0.0001625978,0.0005441689,0.0040188,0.2974741,0.009984937],"genre_scores_gemma":[0.03051848,0.0002029445,0.8078984,0.0005579152,0.00007652529,0.001039162,0.009543492,0.1394356,0.01072755],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04410965,"threshold_uncertainty_score":0.1475614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07870286740431649,"score_gpt":0.3185876078779944,"score_spread":0.239884740473678,"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."}}