{"id":"W4235590833","doi":"10.1522/030165881","title":"Mon Allemagne","year":2010,"lang":"fr","type":"book","venue":"","topic":"European Socioeconomic and Political Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005367122,0.0005626772,0.001294065,0.0001429544,0.0002986406,0.0001225038,0.0005471001,0.0008482717,0.05072784],"category_scores_gemma":[0.0001556735,0.0007034974,0.0005653405,0.00004517954,0.0009674697,0.0001443301,0.0003754089,0.001300579,0.09594531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003668267,"about_ca_system_score_gemma":0.00006925164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000347939,"about_ca_topic_score_gemma":0.0001558783,"domain_scores_codex":[0.9968495,0.0000274609,0.001337305,0.0008979875,0.0000353471,0.0008524513],"domain_scores_gemma":[0.9981221,0.0003421266,0.0005489673,0.0006650549,0.00004901245,0.0002727544],"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":[0.000003464141,0.00006014735,0.005632036,0.0000957621,0.000200175,0.00001364458,0.0001028588,0.000001189054,3.412634e-7,0.8508757,0.1404586,0.002556058],"study_design_scores_gemma":[0.0003320368,0.00008991209,0.003098397,0.00003372485,0.00003166269,0.000006432379,0.00003448775,0.0000742811,0.000003226927,0.09364468,0.9019061,0.0007450698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002476483,0.01154308,0.0003880805,0.005718336,0.004363731,0.000282465,0.0008288959,0.00007282215,0.9743261],"genre_scores_gemma":[0.003000127,0.005708511,0.002014403,0.002961718,0.002405136,0.00001714807,0.0001048135,0.000127288,0.9836609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7614475,"threshold_uncertainty_score":0.9995416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03606657099784806,"score_gpt":0.2175065951078657,"score_spread":0.1814400241100176,"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."}}