{"id":"W2766649693","doi":"10.3917/sava.041.0017","title":"Perturbateurs d’intérêts","year":2017,"lang":"fr","type":"article","venue":"Savoir/Agir","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"INT; Computer science; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0009433209,0.0002520504,0.0003131166,0.00002368414,0.004095541,0.0007969318,0.001767443,0.0003126933,0.002149271],"category_scores_gemma":[0.001096775,0.0002473651,0.0002449339,0.0002328925,0.003507654,0.00117202,0.000237213,0.0003395933,0.002024941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003340747,"about_ca_system_score_gemma":0.0005293359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0672426,"about_ca_topic_score_gemma":0.02604824,"domain_scores_codex":[0.9970772,0.0001838342,0.0002744664,0.0005695177,0.0008697084,0.001025297],"domain_scores_gemma":[0.9980767,0.0001683807,0.0004873812,0.000730736,0.000131006,0.0004057627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001814076,0.0002027106,0.03850003,0.00003638178,0.00004940123,0.00008464185,0.03094552,0.000005643687,0.00009694308,0.2906096,0.3884979,0.250953],"study_design_scores_gemma":[0.0002189368,0.0000575226,0.07351722,0.00009159264,0.000026458,0.000002167599,0.004467404,0.00006679686,0.00005595664,0.02208699,0.8990625,0.0003464477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.286358,0.0106573,0.0000326443,0.1870175,0.01797206,0.0002671032,0.00006680058,0.00007948613,0.4975491],"genre_scores_gemma":[0.7058297,0.002948161,0.0001365553,0.0008612318,0.002799952,0.000008959623,0.00000115419,0.00001734482,0.287397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5105646,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0815272250350046,"score_gpt":0.3477265535004411,"score_spread":0.2661993284654365,"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."}}