{"id":"W4309715481","doi":"10.4000/mimmoc.10738","title":"Encourager la participation des femmes en STIM : trois exemples de campagnes digitales (2017-2019)","year":2022,"lang":"fr","type":"article","venue":"Mémoire(s) identité(s) marginalité(s) dans le monde occidental contemporain","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006971123,0.0008636958,0.001015042,0.0004272032,0.004666612,0.0011314,0.001867221,0.0004253669,0.001926186],"category_scores_gemma":[0.0007205715,0.00109329,0.0008495317,0.001284552,0.002466809,0.003327198,0.001300578,0.001013528,0.0002773997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002903687,"about_ca_system_score_gemma":0.001246656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1757894,"about_ca_topic_score_gemma":0.02965024,"domain_scores_codex":[0.9863151,0.00710166,0.001337923,0.001349746,0.00203212,0.00186348],"domain_scores_gemma":[0.9963226,0.0009526227,0.0008266519,0.0008705042,0.0002478282,0.0007797327],"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":[0.0004924188,0.00335653,0.5597039,0.0006792858,0.0008491421,0.002173481,0.1828221,0.001296187,0.003604543,0.1704495,0.06359657,0.01097633],"study_design_scores_gemma":[0.003219102,0.0007154241,0.3227059,0.000279932,0.0006478928,0.0003257662,0.2897352,0.0005297011,0.001265963,0.04831277,0.3297312,0.002531175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459386,0.008526159,0.001669028,0.008689011,0.001819796,0.001025147,0.001158801,0.0002836898,0.03088977],"genre_scores_gemma":[0.8508438,0.000432269,0.000335364,0.0003726344,0.0004510156,0.0002377716,0.0003636783,0.00008682987,0.1468766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2661346,"threshold_uncertainty_score":0.9999055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07913335728044057,"score_gpt":0.3109203718604582,"score_spread":0.2317870145800177,"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."}}