{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005052044,0.0001007908,0.0002124861,0.0001769441,0.000141281,0.00004314465,0.0002357013,0.00007069888,0.002359802],"category_scores_gemma":[0.0003404594,0.00007789794,0.0001509805,0.00005203945,0.0002252182,0.00005335198,0.00004287672,0.0002309766,0.0002541561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002185291,"about_ca_system_score_gemma":0.00006788633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002110319,"about_ca_topic_score_gemma":0.00003359784,"domain_scores_codex":[0.9991048,0.00005981495,0.0003454121,0.00009038761,0.0001829669,0.0002166305],"domain_scores_gemma":[0.9992217,0.0001373417,0.000257945,0.0001462658,0.0001642061,0.00007256363],"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":[0.0002442962,0.0001977548,0.003292547,0.00007318435,0.0005266797,0.004619982,0.06180179,0.00001863409,0.0008920815,0.6340893,0.2841657,0.01007807],"study_design_scores_gemma":[0.0008146368,0.0004500374,0.0007795974,0.00006045838,0.000143136,0.0004987188,0.01075398,0.00006531961,0.0003468735,0.04235684,0.943515,0.0002153968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8338534,0.0007466575,0.00005590789,0.001235631,0.01275552,0.00005881197,0.00003149198,0.00008380225,0.1511787],"genre_scores_gemma":[0.9741298,0.00003703767,0.000140887,0.0001909383,0.008228903,7.888446e-7,0.000008321537,0.00001593318,0.01724742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6593493,"threshold_uncertainty_score":0.9985522,"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."}}