{"id":"W1989880408","doi":"10.1145/1068009.1068347","title":"GAMM","year":2005,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Computer science; Operator (biology); Image (mathematics); Process (computing); Artificial intelligence; Domain (mathematical analysis); Interpretation (philosophy); Machine learning; Principal (computer security); Contextual image classification; Mathematics; Programming language; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00001536595,0.00001673196,0.00001487854,0.000005699355,0.00002557368,0.00002790879,0.0002024987,0.000005374152,0.00004518158],"category_scores_gemma":[4.136603e-7,0.00001263171,0.000009222188,0.00007573195,0.0000033901,0.0001042569,0.00003808831,0.00001604162,0.0003913254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002324791,"about_ca_system_score_gemma":0.000002597494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001401706,"about_ca_topic_score_gemma":0.000003662817,"domain_scores_codex":[0.9998175,0.000001750428,0.00002978872,0.00006599782,0.00003041296,0.00005456798],"domain_scores_gemma":[0.999809,0.000007498203,0.000004999799,0.0001512457,0.00000557688,0.00002171009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[3.183373e-8,0.000007600124,0.00001901856,8.797808e-8,3.298619e-7,1.338945e-7,0.000008038041,0.0001332555,0.0002119983,0.715674,0.02926139,0.2546841],"study_design_scores_gemma":[0.00003612358,0.000004363609,0.0006178836,4.528823e-7,2.345615e-7,0.00000346197,6.670419e-7,0.1436907,0.002216652,0.004089348,0.849296,0.00004409979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00242219,0.00002157299,0.8997105,0.0159183,0.00002553441,0.00002601341,4.157394e-8,0.0001444557,0.08173139],"genre_scores_gemma":[0.8847613,0.000004172143,0.1080617,0.002035174,0.00009860367,0.000004394747,1.000893e-7,8.712768e-7,0.005033712],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8823391,"threshold_uncertainty_score":0.5029827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009604047564218033,"score_gpt":0.2304550727883785,"score_spread":0.2208510252241604,"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."}}