{"id":"W4320508322","doi":"10.5406/23256672.99.2.14","title":"Contributors","year":2022,"lang":"en","type":"article","venue":"Italica","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00009541179,0.0000330795,0.00004672956,0.00001895385,0.0002250125,0.0000257412,0.000291385,0.000004977391,0.0002461459],"category_scores_gemma":[0.00004286019,0.00003094791,0.00002535362,0.0001337433,0.000007654051,0.00002983182,0.0003644263,0.00004001916,0.00002456288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003117354,"about_ca_system_score_gemma":0.000009882655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003113694,"about_ca_topic_score_gemma":4.622417e-7,"domain_scores_codex":[0.9995592,0.00002141223,0.00005786702,0.000116252,0.0001381312,0.0001071809],"domain_scores_gemma":[0.9997109,0.00003285646,0.00002086594,0.0001930322,0.00002009566,0.00002227787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000510013,0.00008814866,0.000387115,0.00000340767,0.00003253852,0.0002076489,0.003116004,0.00006056784,0.0002616186,0.8835327,0.09176853,0.0205366],"study_design_scores_gemma":[0.0003355275,0.0001367017,0.001912267,0.000001309797,0.000004527641,0.00004361049,0.0003469476,0.003913887,0.0002001802,0.006720181,0.9862244,0.0001605215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1233277,0.007345494,0.5263886,0.02114805,0.01111993,0.0008296195,0.0001329441,0.001909166,0.3077985],"genre_scores_gemma":[0.9965842,0.00000101587,0.001091664,0.001775815,0.000103146,0.0000246507,0.000003023059,0.000002118165,0.0004143801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8944558,"threshold_uncertainty_score":0.2695125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004437769093075186,"score_gpt":0.2007578122435849,"score_spread":0.1963200431505097,"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."}}