{"id":"W2261045153","doi":"10.48550/arxiv.1506.06716","title":"A model of language inflection graphs","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Inflection; Inflection point; Bipartite graph; Lattice (music); Computer science; Mathematics; Graph; Projection (relational algebra); Connected component; Combinatorics; Artificial intelligence; Algorithm; Physics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001744725,0.0001692668,0.0002225957,0.0002361734,0.00005279855,0.00004110215,0.0012511,0.0001849857,0.000005339927],"category_scores_gemma":[0.00001598979,0.000179596,0.0001157702,0.0003778055,0.00005033669,0.0003953071,0.002172855,0.0002999865,0.00001359689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007641622,"about_ca_system_score_gemma":0.0002053879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003014136,"about_ca_topic_score_gemma":0.00002359309,"domain_scores_codex":[0.9989644,0.00005673281,0.0001399961,0.0005740071,0.00009784413,0.000167022],"domain_scores_gemma":[0.9984125,0.00002092576,0.0002125358,0.001064748,0.0001763325,0.0001129297],"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":[0.00002524336,0.0001027623,0.000304159,0.00006541847,0.00004498222,0.00005785629,0.000886727,0.82911,0.0007387188,0.1657398,0.001358095,0.001566162],"study_design_scores_gemma":[0.0002147503,0.00002547375,0.0000495535,0.00004660754,0.00001845615,0.000001255542,0.00003961456,0.8924646,0.0003360057,0.1065837,0.00004956217,0.0001704408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2614339,0.00006608273,0.7360898,0.00001125547,0.0002379999,0.0001038461,0.00003034405,0.0001239217,0.00190287],"genre_scores_gemma":[0.9904044,0.00005745539,0.008852594,0.00002221753,0.00002294446,3.849576e-7,0.0000229249,0.00000797317,0.0006090808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7289705,"threshold_uncertainty_score":0.7323714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003496768803649,"score_gpt":0.2062158691519964,"score_spread":0.1058661922716315,"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."}}