{"id":"W77807571","doi":"","title":"The Language of Trees","year":2013,"lang":"en","type":"article","venue":"ScholarWorks - UNO (University of New Orleans)","topic":"Science Education and Perceptions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Computer science; Natural language processing; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002010494,0.00006339823,0.00009703137,0.00009128569,0.0002697586,0.00002624642,0.0005220952,0.00007574818,0.01632061],"category_scores_gemma":[0.00003527053,0.00005592459,0.00008414038,0.0004018084,0.000255496,0.0002913624,0.00004448907,0.0001913552,0.0009760287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001875743,"about_ca_system_score_gemma":0.0000671716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004344327,"about_ca_topic_score_gemma":0.001773066,"domain_scores_codex":[0.9993653,0.00008056913,0.00009224799,0.0001483699,0.0001485198,0.0001650054],"domain_scores_gemma":[0.999218,0.0001122758,0.00009580948,0.0003969928,0.00007294655,0.0001039233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005560495,0.0002252416,0.01893038,0.000005669517,0.00009924894,0.000002597085,0.1067914,0.00002420223,0.006733226,0.0132444,0.540765,0.313123],"study_design_scores_gemma":[0.0004537049,0.00005133751,0.7134574,0.00001633297,0.00002295544,0.000003459342,0.2188791,0.00003084835,0.00003175532,0.0004604351,0.0664946,0.00009809047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429793,0.0002758944,0.0005363553,0.004176025,0.0004975965,0.000144824,0.000005857766,0.00003035157,0.05135381],"genre_scores_gemma":[0.908113,0.00003452915,0.0007073843,0.0001004457,0.00005885916,2.764881e-7,0.000004054098,0.000004652102,0.09097682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.694527,"threshold_uncertainty_score":0.9998018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767985578283703,"score_gpt":0.2942629353032495,"score_spread":0.2665830795204125,"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."}}