{"id":"W2410143739","doi":"10.1385/1-59259-958-3:345","title":"Yeast Two-Hybrid System Screening","year":2005,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Yeast; Two-hybrid screening; Set (abstract data type); Negotiation; Hybrid system; Computer science; Computational biology; Biology; Genetics; Sociology; Machine learning; Programming language","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":[0.002735862,0.002202407,0.00458278,0.003057042,0.001706872,0.001938187,0.003968229,0.001743999,0.01578078],"category_scores_gemma":[0.00162414,0.00105417,0.001863162,0.002711083,0.0006853056,0.0008332176,0.002498487,0.002587231,0.02603557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007880882,"about_ca_system_score_gemma":0.0009212936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00149182,"about_ca_topic_score_gemma":0.002653759,"domain_scores_codex":[0.9942716,0.001457483,0.0005688006,0.001000559,0.002225886,0.0004756141],"domain_scores_gemma":[0.9988415,0.0003705828,0.00007765715,0.0003001897,0.0002800729,0.0001300686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001322157,0.0006052948,0.001358107,0.001715401,0.0004145004,0.001025607,0.0002915699,0.001343144,0.8893815,0.00684344,0.0467011,0.04899815],"study_design_scores_gemma":[0.0003152401,0.000836982,0.003941529,0.0001248474,0.0003630711,0.001900741,0.0001539386,0.006204322,0.6551202,0.003127058,0.327612,0.0003001016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08498598,0.01677943,0.659082,0.003062811,0.002701169,0.009936106,0.1035708,0.03159029,0.08829141],"genre_scores_gemma":[0.2178363,0.02063814,0.4484005,0.002539319,0.0003219877,0.01235899,0.1517568,0.004247898,0.1419],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01578078,"threshold_uncertainty_score":0.05279195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272101648707235,"score_gpt":0.241810952538191,"score_spread":0.2190899360511186,"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."}}