{"id":"W2323937942","doi":"10.14801/jaitc.2016.14.2.37","title":"10.14801/jaitc.2016.14.2.37","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Variation (astronomy); Noise (video); Amplitude; Speech enhancement; Computer science; Noise measurement; Speech recognition; Acoustics; Mathematics; Artificial intelligence; Noise reduction; Physics; Statistics; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002101184,0.0008570607,0.0006591961,0.004050901,0.003627778,0.01068274,0.001719283,0.003272871,0.9266438],"category_scores_gemma":[0.0052045,0.0006221288,0.0008231445,0.004105201,0.001721177,0.005048486,0.0042337,0.002225989,0.9351421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002955571,"about_ca_system_score_gemma":0.003364466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120259,"about_ca_topic_score_gemma":0.01275384,"domain_scores_codex":[0.998818,0.0001534038,0.0001425467,0.0001791746,0.0004841605,0.0002227243],"domain_scores_gemma":[0.9949613,0.0005584037,0.0002330964,0.00106179,0.001942929,0.001242508],"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":[0.00007522155,0.0001193701,0.0006865379,0.0003237194,0.00000794953,0.00009779008,0.0003874406,0.00009867518,0.0008115545,0.01704097,0.7297298,0.250621],"study_design_scores_gemma":[0.000006072471,0.000006981989,0.0003105421,0.0001657294,0.000002838579,0.00008587007,0.0001155617,0.00007322197,0.0001437847,0.0008631277,0.9982131,0.00001318736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004230416,0.000650596,0.001214882,0.001083226,0.001399676,0.0000879924,0.001722255,0.002195735,0.9912226],"genre_scores_gemma":[0.0028667,0.0006078377,0.001083457,0.0006128066,0.0002957684,0.00007700591,0.001538014,0.001576309,0.991342],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07335621,"threshold_uncertainty_score":0.1046337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404832198430231,"score_gpt":0.1861887057487036,"score_spread":0.1721403837644012,"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."}}