{"id":"W4380301333","doi":"10.3917/riges.482.0085","title":"On a lu pour vous – Éradiquer le bullshit , de Martin Lindstrom","year":2023,"lang":"fr","type":"article","venue":"Gestion","topic":"Diverse multidisciplinary academic research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002262113,0.0001529086,0.0001563565,0.0001784912,0.000579774,0.00009568075,0.000365244,0.0004689374,0.000792885],"category_scores_gemma":[0.001154004,0.0001756142,0.0000998028,0.0009601319,0.0003752582,0.0002636786,0.0001639842,0.0007347267,0.01110949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005438789,"about_ca_system_score_gemma":0.0005026424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002993793,"about_ca_topic_score_gemma":0.0001659265,"domain_scores_codex":[0.9970391,0.000826404,0.0002160118,0.0003975929,0.0006547711,0.0008660927],"domain_scores_gemma":[0.9988285,0.0005266883,0.00008597198,0.0001987245,0.00007993604,0.0002802331],"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":[0.0002201159,0.0004726608,0.0138888,0.0001061666,0.00006855122,0.0005114934,0.02543501,0.007640798,0.002989131,0.2928958,0.4665026,0.1892689],"study_design_scores_gemma":[0.002156776,0.0007475223,0.2009626,0.000991445,0.00009135829,0.00003217888,0.02327372,0.05984006,0.001222808,0.1406958,0.5689316,0.001054082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7049035,0.0001918195,0.0001149077,0.2750701,0.000920595,0.0002663698,0.00002472132,0.0001855661,0.01832234],"genre_scores_gemma":[0.7071049,0.0008961456,0.0003036987,0.0001344773,0.0008337446,0.00003374075,0.00002116833,0.00002516824,0.290647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2749357,"threshold_uncertainty_score":0.9896605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06605830432059344,"score_gpt":0.3600503805334458,"score_spread":0.2939920762128524,"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."}}