{"id":"W4408927208","doi":"10.29173/vjtm64","title":"Valedictorian Speech","year":2023,"lang":"en","type":"article","venue":"Vanguard Journal of Theology & Ministry","topic":"Linguistics and language evolution","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vanguard College","funders":"","keywords":"Speech recognition; Computer science; Linguistics; Philosophy","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":[0.0004266916,0.0006652092,0.0002998864,0.001331596,0.001790195,0.002892362,0.0005155944,0.0006961185,0.1940636],"category_scores_gemma":[0.001507919,0.0001810851,0.0001303099,0.0008456358,0.0005466393,0.0008240992,0.001969166,0.001163141,0.07150756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000725999,"about_ca_system_score_gemma":0.0006155737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002563013,"about_ca_topic_score_gemma":0.005457623,"domain_scores_codex":[0.9995833,0.00007898625,0.00002656671,0.00009979038,0.0001393193,0.00007210405],"domain_scores_gemma":[0.9995875,0.00009551463,0.00002144691,0.0001071123,0.0001412683,0.0000471681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006012365,0.0001108509,0.004749822,0.0003954389,0.00002263896,0.001230079,0.01230739,0.0001862473,0.01213937,0.06180979,0.6261451,0.280302],"study_design_scores_gemma":[0.000007388866,0.0000234233,0.0046534,0.00006710489,0.00000372286,0.0002820389,0.00168787,0.00009755438,0.001962916,0.001068501,0.9901386,0.000007553188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0214503,0.0005438509,0.0009218664,0.001484307,0.002455555,0.00005056006,0.005168618,0.0003883252,0.9675366],"genre_scores_gemma":[0.1690337,0.000489723,0.0008591861,0.0003684386,0.0004945513,0.00004608325,0.006620949,0.0003983018,0.821689],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1940636,"threshold_uncertainty_score":0.6492075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037751176340311,"score_gpt":0.2557597926578289,"score_spread":0.2353822808944258,"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."}}