{"id":"W2054385111","doi":"10.1002/em.1035","title":"Just how does the <i>cII</i> selection system work in Muta™Mouse?","year":2001,"lang":"en","type":"review","venue":"Environmental and Molecular Mutagenesis","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University","keywords":"Selection (genetic algorithm); Biology; Genetics; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006372737,0.00099838,0.001937653,0.001068963,0.001453757,0.004923314,0.00198003,0.003632048,0.003390692],"category_scores_gemma":[0.009021293,0.0009305656,0.001340898,0.0006017499,0.003492701,0.007244795,0.001779902,0.003706636,0.007884823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143439,"about_ca_system_score_gemma":0.001077247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001569701,"about_ca_topic_score_gemma":0.001036032,"domain_scores_codex":[0.9966133,0.000801049,0.0001699463,0.0006636973,0.001129892,0.0006222035],"domain_scores_gemma":[0.9961981,0.0009484448,0.0004980049,0.00060029,0.00122245,0.0005325695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007858331,0.0006977915,0.01465684,0.003135531,0.000486571,0.001460086,0.00217771,0.002456642,0.555604,0.09239916,0.04053757,0.2856023],"study_design_scores_gemma":[0.0001632539,0.002445092,0.008992406,0.0009752178,0.0005161503,0.004615357,0.001935201,0.006959702,0.4807861,0.06319651,0.4287052,0.0007097498],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2314577,0.1031245,0.4319966,0.1019906,0.02440124,0.0009980479,0.001059091,0.01351056,0.09146178],"genre_scores_gemma":[0.6167185,0.05638578,0.2243168,0.03422849,0.003523583,0.0009220491,0.00143673,0.002890964,0.0595771],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006372737,"threshold_uncertainty_score":0.03370267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007783551351457205,"score_gpt":0.2091481658101843,"score_spread":0.2013646144587271,"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."}}