{"id":"W4206443197","doi":"10.3917/cerpsy.092.0020","title":"L’homme aux mille métiers","year":2017,"lang":"fr","type":"article","venue":"Cerveau & Psycho","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Political science","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":[0.000578832,0.0002906726,0.0004186271,0.00004024227,0.005437491,0.0004586145,0.001165884,0.0003523149,0.002452968],"category_scores_gemma":[0.0003649056,0.0003088309,0.0003633429,0.0001823862,0.00331044,0.0006008559,0.0001755429,0.0003352746,0.001669409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000356488,"about_ca_system_score_gemma":0.0001846983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03405964,"about_ca_topic_score_gemma":0.008094284,"domain_scores_codex":[0.9976022,0.0001800208,0.0003140927,0.0004906253,0.0005061598,0.0009068576],"domain_scores_gemma":[0.9983417,0.0000849413,0.0003041509,0.0007463247,0.0001572001,0.0003656722],"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":[0.00001010886,0.000139487,0.003816759,0.00002806862,0.0001286546,0.00001651077,0.01578708,6.108232e-7,0.00000368383,0.2861511,0.6326498,0.06126817],"study_design_scores_gemma":[0.0005154859,0.00006646742,0.02927168,0.00008615142,0.00005595612,7.133204e-7,0.003098959,0.00001237887,0.000005511449,0.03611509,0.93041,0.0003616062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01364315,0.08360256,0.00003650687,0.08703768,0.02553049,0.0002591559,0.00003563921,0.00007554697,0.7897792],"genre_scores_gemma":[0.5256238,0.01405276,0.0002150384,0.001510718,0.004642601,0.0000260924,0.000003686585,0.00003583275,0.4538895],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5119807,"threshold_uncertainty_score":0.9999364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1297334632986141,"score_gpt":0.367520339119945,"score_spread":0.2377868758213309,"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."}}