{"id":"W2329472659","doi":"10.12732/iejpam.v6i3.1","title":"AGENT LANGUAGES, VISUAL VIRTUAL TREES, AND MODELS","year":2013,"lang":"en","type":"article","venue":"International Electronic Journal of Pure and Applied Mathematics","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.0001732168,0.0001148577,0.0001797386,0.0001013711,0.00007042466,0.0001875198,0.0001206839,0.00003682793,0.0002452733],"category_scores_gemma":[0.00004220631,0.00009141819,0.00003911933,0.0000119785,0.00005733573,0.0001557375,0.00003560653,0.0001838053,0.00001359921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006381895,"about_ca_system_score_gemma":0.00005182043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002972342,"about_ca_topic_score_gemma":0.0001134768,"domain_scores_codex":[0.9991026,0.000007031615,0.0003566633,0.0000886542,0.0002700536,0.0001750123],"domain_scores_gemma":[0.9993171,0.00008571162,0.0002843261,0.00005231657,0.0002108718,0.00004965778],"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":[0.000008912474,0.0000713104,0.000003078959,0.00001799967,0.0001209004,0.000001703142,0.01790206,0.00003816792,0.0003436897,0.9749595,0.0001475522,0.006385155],"study_design_scores_gemma":[0.000719779,0.0002049383,0.00002775906,0.00006024995,0.00009300643,0.00008370476,0.03153995,0.00676772,0.0002450758,0.958055,0.002035482,0.0001673229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247998,0.001239021,0.03067151,0.005465585,0.000624826,0.0003647774,0.00001314598,0.00003818488,0.03678314],"genre_scores_gemma":[0.9970093,0.0001700724,0.001381105,0.0001066972,0.000820031,0.000005653809,0.000006407539,0.00001560598,0.0004851651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07220946,"threshold_uncertainty_score":0.3727926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462579945695189,"score_gpt":0.2433804447825294,"score_spread":0.2287546453255775,"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."}}