{"id":"W2298725233","doi":"","title":"Le Crédit d'impôt recherche en débat","year":2015,"lang":"fr","type":"preprint","venue":"SPIRE (Sciences Po)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004023126,0.0007869881,0.0007620514,0.0002066085,0.0007075974,0.005690762,0.004617114,0.001061598,0.0001745756],"category_scores_gemma":[0.001555529,0.0005826901,0.000394939,0.001616592,0.001590753,0.005147121,0.004199745,0.001573591,0.001737603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005569859,"about_ca_system_score_gemma":0.005378027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008333353,"about_ca_topic_score_gemma":0.001183969,"domain_scores_codex":[0.9937547,0.00078157,0.0007903372,0.001923737,0.001389236,0.001360349],"domain_scores_gemma":[0.9960368,0.0005336946,0.0004998532,0.001312166,0.0006225721,0.0009948903],"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":[0.00001358263,0.0003196288,0.0001282747,0.00009586707,0.00004904093,0.0002165574,0.01213395,0.001955621,0.0006162002,0.8030903,0.05247473,0.1289062],"study_design_scores_gemma":[0.0005004125,0.0008849916,0.00190356,0.0005388909,0.00003943119,0.0004177615,0.0009827397,0.01572767,0.00247629,0.4138479,0.561042,0.001638387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03179891,0.004852531,0.01272711,0.03771091,0.008117923,0.0006800027,0.00005426315,0.0003932527,0.9036651],"genre_scores_gemma":[0.7356562,0.0005776005,0.06000751,0.004881371,0.00228993,0.00004819284,0.00004359264,0.000060939,0.1964346],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7072304,"threshold_uncertainty_score":0.9996625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6770892631455137,"score_gpt":0.422559470040909,"score_spread":0.2545297931046046,"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."}}