{"id":"W2091964238","doi":"10.1145/564691.564783","title":"GEA","year":2002,"lang":"en","type":"article","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Key (lock); Obstacle; Expression (computer science); Cancer; Biology; Programming language; Computer security; Genetics; Political science","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":[0.001293893,0.001106061,0.0007972061,0.002093364,0.001269241,0.004266832,0.001661547,0.001759107,0.4915454],"category_scores_gemma":[0.002363564,0.0005171344,0.0006587408,0.002300643,0.0005093674,0.002863322,0.002301483,0.001509712,0.5015774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110895,"about_ca_system_score_gemma":0.001960543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003461862,"about_ca_topic_score_gemma":0.004206878,"domain_scores_codex":[0.9989344,0.000149341,0.00005285614,0.0002829861,0.0004331139,0.0001472429],"domain_scores_gemma":[0.9986126,0.0001454936,0.00006447576,0.0003798771,0.0005267743,0.0002706781],"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":[0.0003532097,0.0001089763,0.001440133,0.0004614225,0.00003662413,0.0002008353,0.0002272253,0.0003948612,0.01047328,0.0361514,0.5059384,0.4442135],"study_design_scores_gemma":[0.00001011304,0.0000126136,0.0003138189,0.00002993906,0.000006446015,0.0001247747,0.00003239361,0.0001865477,0.0009488656,0.001459767,0.9968682,0.000006478283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004180404,0.004365624,0.03317884,0.004931457,0.002077596,0.0002492336,0.01709754,0.02107161,0.9128476],"genre_scores_gemma":[0.01939463,0.004174329,0.03325833,0.002237938,0.0003820359,0.0002983251,0.04085236,0.003612625,0.8957893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4915454,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065724735233586,"score_gpt":0.2311273033534551,"score_spread":0.2104700560011193,"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."}}