{"id":"W4308051794","doi":"10.5430/wjel.v12n7p117","title":"Climate Change and Linguistic Assistance to Overcome Its Risks: An Eco Linguistic Analysis of Greta Thunberg Speech","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Ideology; Perspective (graphical); Selection (genetic algorithm); Context (archaeology); Argumentation theory; Sociology; Computer science; Political science; Politics; History; Artificial intelligence; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.001544889,0.0002868251,0.0002032653,0.001865841,0.002923725,0.002719961,0.0004197627,0.0007484469,0.001439016],"category_scores_gemma":[0.003484295,0.0001195876,0.0001314578,0.001173992,0.003579182,0.001209307,0.001526948,0.0009109201,0.0003751452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00271888,"about_ca_system_score_gemma":0.001082505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005699434,"about_ca_topic_score_gemma":0.01278173,"domain_scores_codex":[0.9985712,0.0009489269,0.00003429679,0.0001298535,0.0001932764,0.0001224566],"domain_scores_gemma":[0.9966111,0.002671635,0.0002643161,0.0001080248,0.000243871,0.0001010529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000819358,0.00003937101,0.008355488,0.0001265396,0.0000087114,0.001836001,0.9514625,0.0001082911,0.006164473,0.01326504,0.002010019,0.01654156],"study_design_scores_gemma":[0.00000451042,0.00006923428,0.03210917,0.0003292209,0.00001768761,0.001210618,0.7783301,0.0005429933,0.003140196,0.002518022,0.1816925,0.00003582375],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677591,0.001226913,0.002084965,0.002023038,0.0001407192,0.0000271946,0.0001212451,0.00002420244,0.02659267],"genre_scores_gemma":[0.9901787,0.0006657187,0.0009712846,0.0002397774,0.00006304921,0.00002508659,0.00007676005,0.00005432368,0.007725283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005699434,"threshold_uncertainty_score":0.01972693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0420910109861262,"score_gpt":0.3071743035360878,"score_spread":0.2650832925499615,"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."}}