{"id":"W4386532036","doi":"10.3917/riges.483.0008","title":"Indicateurs – Des repères pour mieux anticiper le futur du travail","year":2023,"lang":"fr","type":"article","venue":"Gestion","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00666985,0.0007058342,0.0006099491,0.001685946,0.002203462,0.009160131,0.0009818316,0.003885126,0.01610607],"category_scores_gemma":[0.02060944,0.0004327643,0.0007431775,0.001464445,0.007790267,0.01613261,0.004055734,0.003037858,0.001517801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003209895,"about_ca_system_score_gemma":0.003800271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007177616,"about_ca_topic_score_gemma":0.007962443,"domain_scores_codex":[0.9963548,0.001767992,0.0001925361,0.0007419823,0.0006551453,0.0002874992],"domain_scores_gemma":[0.9860783,0.007925738,0.002376788,0.0008391149,0.001883067,0.0008971324],"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":[0.0002217556,0.00008327056,0.0171431,0.0009027344,0.0001400601,0.0006789216,0.01407849,0.003039873,0.002445851,0.856039,0.01001034,0.09521668],"study_design_scores_gemma":[0.00003058909,0.0001554576,0.02956187,0.001799803,0.0001148745,0.0004766531,0.02126514,0.005564552,0.001266528,0.8071336,0.1324538,0.0001770664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3313471,0.04973611,0.1550007,0.1903843,0.002508282,0.0001631194,0.001302183,0.0006000162,0.2689582],"genre_scores_gemma":[0.9631929,0.007835998,0.01422031,0.001373767,0.0004456456,0.00007031563,0.0002672529,0.0001094929,0.0124843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01610607,"threshold_uncertainty_score":0.05388016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04455806791013013,"score_gpt":0.302382592027706,"score_spread":0.2578245241175759,"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."}}