{"id":"W4254364333","doi":"10.7202/1008499ar","title":"Éditorial","year":2006,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004792915,0.001780139,0.00152628,0.005386741,0.00266092,0.01341966,0.003680225,0.006041947,0.4548237],"category_scores_gemma":[0.02983151,0.00068708,0.001520592,0.003012932,0.002731631,0.008620925,0.005140609,0.006261919,0.3132295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003566479,"about_ca_system_score_gemma":0.005379082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001560354,"about_ca_topic_score_gemma":0.00189502,"domain_scores_codex":[0.9929674,0.001064296,0.0006758355,0.001325918,0.00336778,0.0005989392],"domain_scores_gemma":[0.9811096,0.003392978,0.001161255,0.003476829,0.008542072,0.002317235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001360971,0.000009856903,0.00003431193,0.0002497819,0.000003884002,0.00005292461,0.00005653483,0.00002047154,0.000106509,0.003802368,0.9687855,0.0268642],"study_design_scores_gemma":[0.000003504486,0.000004674567,0.00005047676,0.0001617855,0.000001765357,0.00004210068,0.00003688693,0.00001446094,0.0000297529,0.0007237702,0.9989274,0.000003384949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002320816,0.01074447,0.001012874,0.04381014,0.7206805,0.0002489226,0.00129969,0.000711605,0.2212597],"genre_scores_gemma":[0.002742389,0.008987116,0.0008638284,0.02628841,0.2651378,0.0002356626,0.001490265,0.0006665235,0.693588],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.5451763,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0431014014204248,"score_gpt":0.3297106587408247,"score_spread":0.2866092573203999,"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."}}