{"id":"W2230595023","doi":"","title":"La repartition du produit interieur brut et du nombre d'heures travaillees entre les categories de taille d'entreprise au Canada et aux Etats-Unis","year":2014,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":[0.002193813,0.0005317255,0.0004973801,0.008214066,0.001375573,0.00344455,0.0007436617,0.0005812969,0.006615637],"category_scores_gemma":[0.007503667,0.0002990898,0.0009438966,0.01268143,0.000846046,0.001182378,0.001138404,0.001088801,0.001249113],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006702247,"about_ca_system_score_gemma":0.009998144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7796533,"about_ca_topic_score_gemma":0.8846504,"domain_scores_codex":[0.9976183,0.0001635151,0.00008423473,0.000335534,0.001302078,0.0004964007],"domain_scores_gemma":[0.9830645,0.004687804,0.003320917,0.0007605495,0.006651924,0.001514229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001902843,0.0000474668,0.9013745,0.0003137913,0.0002694761,0.0002295153,0.006273391,0.001674411,0.002010595,0.004255445,0.004142852,0.07921836],"study_design_scores_gemma":[0.000002675596,0.00003432918,0.9736751,0.00009127545,0.00006359304,0.00007102705,0.002896486,0.0009293985,0.0009871908,0.0003328236,0.02089323,0.00002292885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940509,0.003920112,0.003998168,0.0007115607,0.0000461921,0.00007474921,0.01918393,0.0001737893,0.03138252],"genre_scores_gemma":[0.9381601,0.002769244,0.003240761,0.0001018829,0.00004449178,0.00005826139,0.01051499,0.00008530255,0.04502498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9932978,"threshold_uncertainty_score":0.4432887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226271459979948,"score_gpt":0.2642936139227205,"score_spread":0.242030899322921,"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."}}