{"id":"W4414450716","doi":"10.1177/00207152251372850","title":"Minding the gap(s): The uneven gendering of engineering and computing work across Europe","year":2025,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salience (neuroscience); Odds; Socioeconomic status; Sociocultural evolution; Multilevel model; Work (physics)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002120012,0.00009638554,0.0002276382,0.001138196,0.0005560168,0.001369711,0.0002207976,0.0002221442,0.001985127],"category_scores_gemma":[0.00314207,0.00007527541,0.0001868727,0.001376132,0.001003646,0.0008275585,0.001624983,0.0002118937,0.0002276933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002536846,"about_ca_system_score_gemma":0.0004539253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00411071,"about_ca_topic_score_gemma":0.00695445,"domain_scores_codex":[0.9990729,0.0002995034,0.00006038747,0.0002089218,0.0001924052,0.0001658051],"domain_scores_gemma":[0.9982966,0.0006196583,0.0004538979,0.0001658769,0.0001974511,0.0002666095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001916941,0.00004711255,0.9037708,0.0001064236,0.00009093366,0.0002233635,0.02267255,0.0002883911,0.001456119,0.007772659,0.0008751984,0.06250474],"study_design_scores_gemma":[0.000003046479,0.0000483504,0.9769782,0.00007446313,0.00001037024,0.0001561111,0.01746521,0.00008537468,0.0002219794,0.001114831,0.003834708,0.00000734753],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950683,0.0007295716,0.0003080031,0.0001881936,0.00001298357,0.000002074986,0.00008857014,0.000002364954,0.003600025],"genre_scores_gemma":[0.9992393,0.0002217239,0.00008815185,0.00006051416,0.000005108306,0.000001693499,0.00005958836,0.000002459032,0.0003215034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.999444,"threshold_uncertainty_score":0.01121187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07007156753229848,"score_gpt":0.3758622906183937,"score_spread":0.3057907230860952,"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."}}