{"id":"W6986337339","doi":"","title":"PENGARUH NEURO LINGUISTIC PROGRAMMING
\\n(NLP) TEKNIK ANCHORING TERHADAP FUNGSI
\\nKOGNISI DAN PENURUNAN STRES ATLET PADA
\\nSITUASI PANDEMI COVID 19","year":2021,"lang":"id","type":"other","venue":"Repository at Universitas Pendidikan Indonesia (Universitas Pendidikan Indonesia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Stress (linguistics); Linguistic analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001609607,0.0007966176,0.0005769776,0.0007573272,0.001359397,0.005895732,0.00127656,0.001292166,0.02089485],"category_scores_gemma":[0.003572943,0.000425028,0.0007679833,0.00115052,0.001481695,0.003691862,0.002496325,0.001902149,0.008933136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663314,"about_ca_system_score_gemma":0.003069996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00724662,"about_ca_topic_score_gemma":0.01093028,"domain_scores_codex":[0.9984438,0.0004942763,0.0001107493,0.000437242,0.0004068079,0.0001071597],"domain_scores_gemma":[0.9983876,0.0008018003,0.0001172736,0.0002445423,0.0003598782,0.00008899196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003757044,0.0001970965,0.002344742,0.001213692,0.00009223617,0.000884346,0.003706447,0.01298369,0.03114087,0.2029729,0.0770907,0.6669977],"study_design_scores_gemma":[0.00005452252,0.0001393333,0.002599037,0.0004646974,0.0001573247,0.0005792506,0.003767989,0.1020893,0.03092182,0.1956803,0.6633831,0.0001634072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02096416,0.001978255,0.7828823,0.008360931,0.0008919312,0.0003154899,0.002819435,0.007186169,0.1746014],"genre_scores_gemma":[0.2315866,0.004267465,0.6004298,0.002378288,0.0003317462,0.0005872991,0.004162635,0.001811275,0.1544449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02089485,"threshold_uncertainty_score":0.06990027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131481402829249,"score_gpt":0.2465186151637091,"score_spread":0.2252038011354166,"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."}}