{"id":"W3046943377","doi":"10.1080/1554477x.2020.1783932","title":"Writing Gender Out or Working It Back In? Media Coverage of Child Benefits in Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Women Politics & Policy","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Newspaper; Framing (construction); Gender equality; Political science; Media coverage; Conversation; Variation (astronomy); Gender studies; Print media; Public relations; Sociology; Media studies; Geography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002338167,0.0002950778,0.0002845822,0.01114149,0.006270737,0.006254988,0.0007734026,0.0006008258,0.005417855],"category_scores_gemma":[0.01632119,0.0002749738,0.0001617733,0.01575404,0.002135605,0.001316383,0.00177659,0.0008003101,0.0005572471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0440199,"about_ca_system_score_gemma":0.04511495,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9828577,"about_ca_topic_score_gemma":0.9887341,"domain_scores_codex":[0.9963294,0.000374393,0.00009527805,0.0002745269,0.002227096,0.0006993695],"domain_scores_gemma":[0.9825919,0.005578025,0.002251161,0.000442266,0.007736993,0.001399672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004342473,0.0001400504,0.3769287,0.001104854,0.0001368086,0.001796316,0.2452733,0.0007262896,0.007075087,0.01375677,0.117766,0.2348616],"study_design_scores_gemma":[0.0000110141,0.00003038313,0.547937,0.0006381656,0.00008081904,0.0002076115,0.117717,0.001114552,0.003491609,0.0005169585,0.3281637,0.00009130701],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8596796,0.004872028,0.000562619,0.01369642,0.0002905263,0.00008252836,0.01351889,0.0001585617,0.1071388],"genre_scores_gemma":[0.9766393,0.003525467,0.0007137215,0.001165628,0.0001407549,0.00003308138,0.00280576,0.00008386045,0.01489242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0440199,"threshold_uncertainty_score":0.3193882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07333401730215107,"score_gpt":0.325035580573592,"score_spread":0.2517015632714409,"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."}}