{"id":"W1993012473","doi":"10.1007/s11538-013-9906-6","title":"A Note on Probabilistic Models over Strings: The Linear Algebra Approach","year":2013,"lang":"en","type":"preprint","venue":"Bulletin of Mathematical Biology","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Probabilistic logic; Graphical model; Inference; Normalization (sociology); Bayesian inference; Theoretical computer science; Linear algebra; Computer science; Class (philosophy); Algebra over a field; Algorithm; Bayesian probability; Mathematics; Artificial intelligence; Pure mathematics","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":[0.007677738,0.001704072,0.003067724,0.003290941,0.00233068,0.007230932,0.004630479,0.004663456,0.01089476],"category_scores_gemma":[0.0226693,0.001355735,0.004767928,0.005445542,0.01106863,0.02556478,0.006399496,0.01714036,0.002965626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002307455,"about_ca_system_score_gemma":0.001768438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00218012,"about_ca_topic_score_gemma":0.00163636,"domain_scores_codex":[0.9935893,0.002731418,0.0004585789,0.001031359,0.001875296,0.000314031],"domain_scores_gemma":[0.9716647,0.02290501,0.0006140178,0.003156688,0.001149343,0.0005101131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001422956,0.00001647921,0.00006367157,0.00007586271,0.0000234332,0.00004145034,0.0000631146,0.002258878,0.0001450681,0.9823988,0.005121112,0.009777823],"study_design_scores_gemma":[0.00000258533,0.000005563364,0.00001616018,0.00001165813,0.000004890175,0.00002276392,0.000006601317,0.005136679,0.00005977451,0.9903579,0.004363918,0.00001148352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00251023,0.01316489,0.9274926,0.0310785,0.003555888,0.00003212701,0.0004501607,0.0002907748,0.02142495],"genre_scores_gemma":[0.2393836,0.04489485,0.5907731,0.02172635,0.05201346,0.0005191032,0.001307847,0.001299678,0.04808191],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01089476,"threshold_uncertainty_score":0.04060423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03421594040448571,"score_gpt":0.271140982175137,"score_spread":0.2369250417706513,"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."}}