{"id":"W2119240948","doi":"10.1088/1478-3975/4/4/003","title":"Modeling transcription factor binding events to DNA using a random walker/jumper representation on a 1D/2D lattice with different affinity sites","year":2007,"lang":"en","type":"article","venue":"Physical Biology","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Jumper; Monte Carlo method; Transcription factor; DNA; Representation (politics); Random walk; Lattice (music); Transcription (linguistics)","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":[0.0003563914,0.0005798178,0.0008684902,0.000753922,0.0006547509,0.001257599,0.001331649,0.002333136,0.003741359],"category_scores_gemma":[0.001018444,0.000632563,0.0009694037,0.000708528,0.001263526,0.0009713021,0.0006792604,0.0009439943,0.0005334406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014904,"about_ca_system_score_gemma":0.0008467101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01686797,"about_ca_topic_score_gemma":0.007036916,"domain_scores_codex":[0.9997872,0.00007244674,0.000008983044,0.00003883035,0.0000454672,0.00004728337],"domain_scores_gemma":[0.9994717,0.0002995335,0.00007394169,0.00003863595,0.00005570222,0.00006033137],"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":[0.00002549438,0.00002797132,0.0004432456,0.00001545047,0.000009621528,0.00006872068,0.00002052461,0.9911781,0.001209372,0.006370164,0.00008534243,0.0005458954],"study_design_scores_gemma":[0.00001018997,0.000008510881,0.00005214214,0.000001690058,0.00000245155,0.000006756132,0.000007046852,0.9988075,0.00009905706,0.0008995767,0.0001011492,0.000003875752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5991722,0.0007484243,0.3647456,0.001594749,0.0002467002,0.0001737117,0.0008354546,0.0005880643,0.03189521],"genre_scores_gemma":[0.9206679,0.0005463272,0.06730308,0.0002315302,0.00004918739,0.0003963674,0.0003585405,0.0001026525,0.01034437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01686797,"threshold_uncertainty_score":0.03353959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04793845775479783,"score_gpt":0.3410072124274945,"score_spread":0.2930687546726967,"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."}}