{"id":"W2466831408","doi":"10.7202/1036261ar","title":"Les écarts salariaux de genre au Cameroun","year":2016,"lang":"fr","type":"article","venue":"Revue multidisciplinaire sur l emploi le syndicalisme et le travail","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Sociology; Art","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004473277,0.0008983556,0.001682518,0.0003821308,0.00079286,0.000304065,0.001037827,0.001125124,0.0005861585],"category_scores_gemma":[0.001253609,0.0009474338,0.0008816681,0.0006255469,0.001018112,0.0009154691,0.0005403591,0.0008919974,0.0005985642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555683,"about_ca_system_score_gemma":0.001114835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03913191,"about_ca_topic_score_gemma":0.0174582,"domain_scores_codex":[0.9930546,0.0006951749,0.002219874,0.001834564,0.0002248878,0.00197092],"domain_scores_gemma":[0.9955157,0.0008457303,0.001099527,0.001550403,0.0002200665,0.0007685961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001328378,0.001884838,0.3476988,0.001291104,0.0005369467,0.0004029996,0.008078457,0.0001786903,0.0004078907,0.5075541,0.001221882,0.1306115],"study_design_scores_gemma":[0.005035771,0.0002662351,0.8744253,0.001904471,0.0001140824,0.0001838126,0.0006726134,0.003172583,0.0001672424,0.02499397,0.08669964,0.002364299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8745552,0.0097409,0.02664581,0.07763139,0.003164957,0.0006704387,0.002866676,0.0002170228,0.004507606],"genre_scores_gemma":[0.9570859,0.004006627,0.001889291,0.0003093817,0.0009379785,0.0001136474,0.0001065794,0.0002737098,0.0352769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5267265,"threshold_uncertainty_score":0.9992976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0381714764011404,"score_gpt":0.2607140811589676,"score_spread":0.2225426047578272,"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."}}