{"id":"W4389512081","doi":"10.1007/978-3-031-33800-7","title":"Women’s Contribution to Science and Technology through ICWES Conferences","year":2023,"lang":"en","type":"book","venue":"Women in engineering and science","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Université Laval; Carleton University","funders":"European Commission; University of Warwick; University of Alberta","keywords":"Engineering ethics; Library science; Political science; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001488477,0.0004788988,0.0002455724,0.002067392,0.004246855,0.008338609,0.0006970988,0.001172349,0.04363901],"category_scores_gemma":[0.002655592,0.000176243,0.0002457895,0.002309992,0.001392136,0.002668091,0.005325245,0.00218428,0.004627815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003220659,"about_ca_system_score_gemma":0.003769152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005005418,"about_ca_topic_score_gemma":0.02269416,"domain_scores_codex":[0.9989735,0.0003637886,0.00001880685,0.00004670962,0.0003073195,0.0002898617],"domain_scores_gemma":[0.9984615,0.0004252733,0.00005571023,0.00005933678,0.0002092554,0.0007889516],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009730193,0.000126686,0.001689265,0.0003531611,0.00001260312,0.0004599781,0.02800283,0.000209262,0.001074151,0.1604211,0.5093837,0.2981699],"study_design_scores_gemma":[0.000004258472,0.000018904,0.001036012,0.0001443291,0.000002946131,0.00008191313,0.005510639,0.00002683438,0.0001573824,0.002549874,0.9904632,0.000003793637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01048234,0.01021758,0.0002945153,0.01469692,0.003793079,0.00002184507,0.0000456641,0.00005827169,0.9603898],"genre_scores_gemma":[0.09107614,0.00967022,0.0003882344,0.002308221,0.002477203,0.00003641034,0.00006865159,0.00009082671,0.8938841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9985115,"threshold_uncertainty_score":0.145987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540318011771932,"score_gpt":0.2398719679142198,"score_spread":0.2244687877965005,"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."}}