{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001357518,0.0003468792,0.0003140664,0.0001776614,0.0002019361,0.0005046899,0.0004392029,0.0004868074,0.002171655],"category_scores_gemma":[0.003697159,0.0004232485,0.0002878851,0.0001433829,0.0007016793,0.0009027006,0.0001179365,0.0005486902,0.001161778],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004351076,"about_ca_system_score_gemma":0.0009440336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01551159,"about_ca_topic_score_gemma":0.005153381,"domain_scores_codex":[0.9965401,0.001174598,0.000742883,0.0006366887,0.0003580958,0.0005476914],"domain_scores_gemma":[0.9924085,0.006054011,0.0004782507,0.0003548806,0.0004556657,0.0002486718],"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":[0.00004325554,0.0005711976,0.05424261,0.00006971411,0.0001300404,0.00004788509,0.006252283,0.02985784,0.000227708,0.6810886,0.2158918,0.01157708],"study_design_scores_gemma":[0.0008751831,0.00002147642,0.0754523,0.0002151082,0.00006914543,0.0000515368,0.0004405442,0.004590495,0.0001540062,0.01327259,0.9044257,0.0004318723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.643491,0.0007715055,0.001583797,0.316404,0.009536492,0.0004406454,0.0002121478,0.0001850301,0.02737539],"genre_scores_gemma":[0.09132241,0.009495069,0.009994899,0.003880571,0.02328931,0.0000915226,0.0004491545,0.00007962767,0.8613974],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.834022,"threshold_uncertainty_score":0.999822,"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."}}