{"id":"W2976107500","doi":"","title":"Discrimination against women in workplaces: Present scenario of Bangladesh in comparison to Canada.","year":2019,"lang":"en","type":"article","venue":"Journal of Emerging Technologies and Innovative Research","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empowerment; Poverty; Constitution; Constitution of India; Political science; Economic growth; Gender discrimination; Gender studies; Law; Development economics; Sociology; Demographic economics; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005606699,0.0005257209,0.0003124204,0.001279505,0.01805686,0.003631425,0.001091669,0.003168293,0.01079145],"category_scores_gemma":[0.000757525,0.0002856903,0.0003657966,0.002692888,0.002826172,0.001528551,0.003195498,0.002371919,0.0007928655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0501448,"about_ca_system_score_gemma":0.04196925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.952859,"about_ca_topic_score_gemma":0.9786261,"domain_scores_codex":[0.9984647,0.0001479269,0.00002238085,0.0000836132,0.0002371436,0.001044279],"domain_scores_gemma":[0.998966,0.00005369819,0.00007137353,0.00001329519,0.0002763473,0.0006192693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007383705,0.0007265499,0.2799844,0.001408019,0.00009930386,0.07365294,0.1734929,0.001546377,0.005840662,0.2267649,0.1304304,0.1053153],"study_design_scores_gemma":[0.00005793552,0.0001632435,0.1052686,0.0009253803,0.0000774391,0.005142747,0.6433903,0.0006911313,0.0005227905,0.007381227,0.2361404,0.0002388533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6590878,0.01244851,0.0003386801,0.1247809,0.0005263257,0.0001834167,0.002121943,0.00003372466,0.2004785],"genre_scores_gemma":[0.9385222,0.01283308,0.0003655631,0.01023835,0.00007519835,0.00005995083,0.0004104839,0.00001977225,0.03747546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0501448,"threshold_uncertainty_score":0.3638277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09217679373867291,"score_gpt":0.4239995430919694,"score_spread":0.3318227493532965,"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."}}