{"id":"W1479933963","doi":"10.1007/978-3-642-20389-3_4","title":"Applying Linear Models to Learn Regulation Programs in a Transcription Regulatory Module Network","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer 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":[0.001054126,0.0008219366,0.0008145234,0.0004784749,0.0003490813,0.0007579704,0.001317943,0.001102718,0.002383806],"category_scores_gemma":[0.003905904,0.0008923384,0.0009680903,0.000551303,0.0006268905,0.001044198,0.0008372978,0.002083467,0.000408261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274141,"about_ca_system_score_gemma":0.0007699479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01250402,"about_ca_topic_score_gemma":0.01639227,"domain_scores_codex":[0.9997494,0.00009774546,0.00001069067,0.00008102085,0.00002905282,0.00003205328],"domain_scores_gemma":[0.9962658,0.00334031,0.0001311551,0.00008075379,0.0001275929,0.00005441174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004794562,0.00003777883,0.0003626967,0.0000278373,0.00002371889,0.00001589174,0.00002422403,0.9772078,0.0004771304,0.002212038,0.0003717102,0.01919126],"study_design_scores_gemma":[0.000002278094,0.000003738785,0.00001741196,7.971773e-7,0.000001876352,9.434522e-7,0.000001011502,0.9984258,0.00007581857,0.001449047,0.0000204387,8.906948e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1246704,0.0005945283,0.8706663,0.0005398027,0.00003666905,0.000049003,0.0002770203,0.001596562,0.00156969],"genre_scores_gemma":[0.8663657,0.0003586703,0.1239969,0.0002284671,0.0001147846,0.0003047403,0.000811233,0.0002680252,0.007551568],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01250402,"threshold_uncertainty_score":0.02486247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003878729256653,"score_gpt":0.2282019728647019,"score_spread":0.1981631855721354,"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."}}