{"id":"W4404889259","doi":"10.30970/fpl.2024.137.4483","title":"ФУНКЦІЙНИЙ ПОТЕНЦІАЛ АНГЛІЙСЬКИХ КОГНІТИВНИХ ДІЄСЛІВ У НАРАТИВІ (НА МАТЕРІАЛІ ТВОРІВ М. ЕТВУД)","year":2024,"lang":"en","type":"article","venue":"Inozenma Philologia","topic":"Mental Health via Writing","field":"Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001253765,0.0003392027,0.000187181,0.001373577,0.001597002,0.003718153,0.0003473688,0.0007303106,0.02725258],"category_scores_gemma":[0.002489724,0.0003024513,0.0003250306,0.001285971,0.002175333,0.00180525,0.001180449,0.001191628,0.01455459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637342,"about_ca_system_score_gemma":0.002067847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005007095,"about_ca_topic_score_gemma":0.005609592,"domain_scores_codex":[0.998908,0.0002355456,0.0000758222,0.000193829,0.0004802175,0.0001064826],"domain_scores_gemma":[0.9991453,0.0002209503,0.0001267029,0.0001293243,0.0002918684,0.00008585858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001277174,0.00007087148,0.004447815,0.0003959198,0.00002704529,0.001210727,0.008162179,0.0006956452,0.01024402,0.6058336,0.02613182,0.3426527],"study_design_scores_gemma":[0.00001649628,0.00006696508,0.007100893,0.0001493058,0.00002503646,0.001070222,0.001895346,0.0004846246,0.004989893,0.04309199,0.9410589,0.00005050602],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06441828,0.007259232,0.071398,0.005952102,0.001629236,0.0002925051,0.0008314318,0.0006019343,0.8476174],"genre_scores_gemma":[0.689125,0.007516325,0.05887062,0.0006803346,0.0005223942,0.0003188022,0.0006021701,0.0004603606,0.241904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02725258,"threshold_uncertainty_score":0.091169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0686091741370867,"score_gpt":0.4060319140742012,"score_spread":0.3374227399371145,"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."}}