{"id":"W7066678174","doi":"","title":"La lutte de Développement et Paix contre les pratiques de sous-traitance de Nike et Levis dans les pays du Sud","year":2008,"lang":"fr","type":"other","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nike; Macadamia nut; Public work","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":[0.004747632,0.0003169674,0.0002489656,0.001089613,0.006766369,0.00517717,0.0007209775,0.001136958,0.007357059],"category_scores_gemma":[0.005651756,0.0003047824,0.0002978412,0.001565646,0.003811779,0.002369737,0.003444616,0.002696415,0.0006144055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01209494,"about_ca_system_score_gemma":0.02234568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1433322,"about_ca_topic_score_gemma":0.2632488,"domain_scores_codex":[0.9963133,0.001240897,0.0001219677,0.0004950845,0.0006848144,0.00114398],"domain_scores_gemma":[0.9927062,0.001931589,0.001688896,0.0004245972,0.00173209,0.001516494],"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":[0.0003048429,0.0002012352,0.1781348,0.0007340183,0.0001062326,0.00182431,0.134704,0.001126512,0.008170382,0.4658909,0.01491083,0.1938921],"study_design_scores_gemma":[0.00003821459,0.0004219715,0.3249786,0.0009973085,0.00007243713,0.001302624,0.1146383,0.001042049,0.004040347,0.02058392,0.5317313,0.0001529511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7466869,0.01126052,0.007218147,0.04610613,0.0004329073,0.00008927019,0.0002674911,0.0001014529,0.1878371],"genre_scores_gemma":[0.9214745,0.00311012,0.002587253,0.002332059,0.0000568536,0.00003919318,0.00006944054,0.0000231853,0.0703073],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1433322,"threshold_uncertainty_score":0.2849957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711718467860203,"score_gpt":0.2632446832036645,"score_spread":0.2461274985250625,"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."}}