{"id":"W2368669487","doi":"","title":"L'analyse comparée des micro-entreprises franises et chinoises","year":2013,"lang":"fr","type":"article","venue":"Études françaises","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.0012272,0.00028748,0.000500903,0.002358207,0.001204461,0.002404585,0.0002921043,0.0004588832,0.0125383],"category_scores_gemma":[0.003198682,0.0001294932,0.0004643206,0.003663004,0.0007878912,0.00107183,0.0008401833,0.0004313278,0.0008426773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929869,"about_ca_system_score_gemma":0.001182787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06768376,"about_ca_topic_score_gemma":0.09763982,"domain_scores_codex":[0.9993777,0.0001226358,0.00002395123,0.0001246764,0.0001619989,0.0001891029],"domain_scores_gemma":[0.9972562,0.001259321,0.0007782168,0.0001418958,0.0003207864,0.0002436593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003720664,0.0001135742,0.845471,0.0002552882,0.0004800581,0.0008951942,0.03175662,0.001551648,0.002809736,0.02726197,0.002177736,0.08685518],"study_design_scores_gemma":[0.000008890924,0.0001027127,0.9539757,0.00006418484,0.0001159215,0.0001893454,0.01710546,0.001634643,0.0006556337,0.001654026,0.02446714,0.0000262361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867688,0.0008978703,0.0007197661,0.0002197249,0.000008623358,0.00002077517,0.0004652161,0.000009480411,0.0108897],"genre_scores_gemma":[0.9865753,0.0006229864,0.0004441144,0.00003788529,0.00001486735,0.00002769324,0.0003695431,0.000006811017,0.01190086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06768376,"threshold_uncertainty_score":0.1345796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184555143354626,"score_gpt":0.2369020607701193,"score_spread":0.2050565093365731,"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."}}