{"id":"W124769181","doi":"","title":"Old News from the \"New Economy\": Women's Work in ICT","year":2004,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Work (physics); Economy; Business; Political science; Economics; Engineering; Mechanical engineering; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003297818,0.0001341994,0.0002158917,0.00009592809,0.0005289015,0.0001920176,0.0002837768,0.00006446755,0.0002317313],"category_scores_gemma":[0.0001076383,0.0001156743,0.00004086127,0.0004319001,0.0002400531,0.0005576268,0.00001775376,0.0001276054,0.0002523418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002974054,"about_ca_system_score_gemma":0.001039559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04625503,"about_ca_topic_score_gemma":0.7059882,"domain_scores_codex":[0.9987137,0.00004064778,0.0002296316,0.0001964888,0.0000824779,0.0007370627],"domain_scores_gemma":[0.9991931,0.0001502798,0.0000483878,0.0001535116,0.00002708625,0.0004276153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002607535,0.0000246943,0.01123801,0.000008029868,0.000184025,0.00001846969,0.8075384,0.0002817608,1.350006e-7,0.1506763,0.004923166,0.02508099],"study_design_scores_gemma":[0.0003594894,0.0000216402,0.001674764,0.00004223728,0.000003603716,9.98542e-8,0.3738486,1.578245e-7,0.000001723516,0.1570136,0.4668425,0.0001916061],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.864782,0.000413171,0.000003752835,0.01550205,0.0003566473,0.0002780422,0.00001662606,0.00003334675,0.1186143],"genre_scores_gemma":[0.9906642,0.0002180668,0.00002370562,0.006447386,0.0002987769,0.0001124726,0.000004648792,0.000008654076,0.002222097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6597332,"threshold_uncertainty_score":0.9600961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709982987142607,"score_gpt":0.2351814988879573,"score_spread":0.2180816690165313,"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."}}