{"id":"W4298083714","doi":"","title":"Organisation et discussion du panel Intersectionnality and Public Policies : Potentials and Pitfalls","year":2017,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.1781391,0.0006405803,0.001334708,0.004001952,0.01401527,0.02395789,0.00514163,0.01388948,0.04675391],"category_scores_gemma":[0.2389469,0.001299076,0.001451456,0.009094211,0.009432306,0.01834993,0.01845111,0.01354819,0.00387132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01757352,"about_ca_system_score_gemma":0.02628707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01758485,"about_ca_topic_score_gemma":0.01806546,"domain_scores_codex":[0.8261455,0.1394285,0.002986655,0.008359211,0.0143846,0.008695518],"domain_scores_gemma":[0.6686027,0.259263,0.007597217,0.0247903,0.02746958,0.01227717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004929665,0.000179861,0.00696969,0.0007302016,0.0001260103,0.0002093637,0.02771066,0.001537105,0.0005543888,0.7219828,0.1253561,0.1141508],"study_design_scores_gemma":[0.0001392803,0.0001622444,0.01226306,0.002395207,0.0000818903,0.0001257817,0.02575354,0.00298316,0.001373257,0.2360005,0.718576,0.0001461328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.05283841,0.01378448,0.03489707,0.5448716,0.008390503,0.0008406626,0.001952874,0.0002964402,0.342128],"genre_scores_gemma":[0.794924,0.005969533,0.02197405,0.06867355,0.007755355,0.004352419,0.001479038,0.0004740526,0.09439793],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1781391,"threshold_uncertainty_score":0.9421011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03914815812487342,"score_gpt":0.2758353065535039,"score_spread":0.2366871484286305,"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."}}