{"id":"W7039526649","doi":"","title":"Mother load: parental-status references in Canadian business magazines","year":2013,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000380721,0.0003584247,0.0003712796,0.00123958,0.002338466,0.0001556197,0.000826163,0.0003356664,0.0009125173],"category_scores_gemma":[0.0001955152,0.000434806,0.0001642458,0.001838341,0.001301634,0.001585013,0.0002272584,0.0004078214,0.0002270674],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01352834,"about_ca_system_score_gemma":0.00727896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8717734,"about_ca_topic_score_gemma":0.5760911,"domain_scores_codex":[0.9964653,0.0005000437,0.0002848882,0.0007175725,0.0008527667,0.001179446],"domain_scores_gemma":[0.9975851,0.0001479509,0.0001775217,0.0003555732,0.0006514728,0.001082379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003828241,0.0006013861,0.5327384,0.0001465356,0.0002565986,0.007240585,0.01092462,0.002428155,0.0007291543,0.4282171,0.007018605,0.009315932],"study_design_scores_gemma":[0.0009393545,0.00004065462,0.1975194,0.0001586394,0.00005099826,0.00002383848,0.0153495,0.000152545,0.00002362738,0.0005138443,0.7846103,0.0006172331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5413446,0.0001035511,0.0001684041,0.001597098,0.001092411,0.000518614,0.00004209862,0.0001365704,0.4549966],"genre_scores_gemma":[0.9483285,0.0004308296,0.0003892868,0.000209657,0.00024792,8.132974e-7,0.00006506782,0.00001595306,0.05031199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7775917,"threshold_uncertainty_score":0.9998104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366331869969846,"score_gpt":0.2106222146286112,"score_spread":0.1969588959289127,"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."}}