{"id":"W4237039153","doi":"10.7202/1008461ar","title":"Éditorial","year":2004,"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":2,"is_retracted":false,"has_abstract":false,"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":[0.001341847,0.000349825,0.0003162279,0.000175934,0.0002072194,0.000459799,0.0004819865,0.0004961125,0.00161211],"category_scores_gemma":[0.00611746,0.0004253988,0.0002914059,0.0001490354,0.0007450948,0.001017047,0.0001313736,0.0006274802,0.001472271],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006712846,"about_ca_system_score_gemma":0.001612862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008170927,"about_ca_topic_score_gemma":0.003258271,"domain_scores_codex":[0.9968843,0.0008720345,0.0006838476,0.000648698,0.0003623246,0.0005487519],"domain_scores_gemma":[0.9940831,0.004281403,0.0004390396,0.0003757636,0.0004477479,0.0003729127],"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":[0.00005572126,0.000663365,0.01731217,0.00008300477,0.0002236489,0.00006937819,0.02464252,0.07564031,0.0002158923,0.8267851,0.0392346,0.01507431],"study_design_scores_gemma":[0.001684492,0.00004015744,0.03521441,0.0004227947,0.00008415899,0.00008754978,0.00102754,0.00134111,0.0002594038,0.02361206,0.9357036,0.0005226718],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5859333,0.0005529961,0.002232512,0.3910237,0.009083167,0.0004096953,0.0001500455,0.0001582711,0.01045632],"genre_scores_gemma":[0.1695785,0.0328759,0.02619206,0.01171219,0.02612713,0.0001590084,0.0004427639,0.0001380312,0.7327744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8964691,"threshold_uncertainty_score":0.9998198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05119161965961299,"score_gpt":0.3397732462879841,"score_spread":0.2885816266283711,"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."}}