{"id":"W4388461246","doi":"10.25071/2564-2855.30","title":"A person was raped, who is the agent?","year":2023,"lang":"en","type":"article","venue":"Working papers in Applied Linguistics and Linguistics at York","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; York University","funders":"","keywords":"Headline; Newspaper; Sexual assault; Paragraph; Agency (philosophy); Criminology; Constitution; Media coverage; Political science; Law; Psychology; Sociology; Media studies; Poison control; Human factors and ergonomics; Advertising; Medicine; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001130795,0.0003057104,0.0003139287,0.003182223,0.004761509,0.004770885,0.0005960953,0.001099164,0.006815355],"category_scores_gemma":[0.008337122,0.0001834808,0.0001373812,0.003684706,0.002974526,0.002448468,0.0007495868,0.0008677218,0.001069274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009131477,"about_ca_system_score_gemma":0.004020711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6634164,"about_ca_topic_score_gemma":0.704879,"domain_scores_codex":[0.9986388,0.0005116187,0.00006640653,0.0001280017,0.0003828637,0.0002722937],"domain_scores_gemma":[0.9951665,0.002670918,0.0008447812,0.0001144717,0.0009937376,0.0002095518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001759322,0.0000967596,0.2522915,0.0008686873,0.00008876095,0.008292769,0.5302981,0.0001829481,0.002457414,0.03472653,0.07763705,0.09288346],"study_design_scores_gemma":[0.000005670719,0.00002566684,0.1033845,0.001077226,0.00005865814,0.002370987,0.5568471,0.0003152209,0.001182868,0.001107271,0.3335744,0.00005049213],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7426409,0.01449173,0.001252964,0.0424726,0.0009750426,0.0001216138,0.004113422,0.00005704927,0.1938747],"genre_scores_gemma":[0.9706252,0.007283754,0.0003393389,0.002598827,0.0003504739,0.00002767827,0.0008341636,0.00002206204,0.01791844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6634164,"threshold_uncertainty_score":0.6771317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04877603916362615,"score_gpt":0.2554455130217184,"score_spread":0.2066694738580923,"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."}}