{"id":"W4253958731","doi":"10.4000/formationemploi.5188","title":"Bibliographie","year":2017,"lang":"fr","type":"article","venue":"Formation emploi","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Historical Studies in Education","funders":"","keywords":"Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003296208,0.001317507,0.002975419,0.0888558,0.002295743,0.008784974,0.001840168,0.001439029,0.3619435],"category_scores_gemma":[0.0307896,0.0007189189,0.001265135,0.1204166,0.001270835,0.003295987,0.002023412,0.002078359,0.1048793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00785712,"about_ca_system_score_gemma":0.01705526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06953423,"about_ca_topic_score_gemma":0.05884543,"domain_scores_codex":[0.9918482,0.001099181,0.002198699,0.001153463,0.003289989,0.0004104473],"domain_scores_gemma":[0.9759597,0.006433947,0.001893565,0.001734712,0.01341938,0.0005585557],"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":[0.0001508335,0.00002853844,0.001137702,0.01998339,0.0001660305,0.0002288131,0.00082394,0.0002650722,0.0006399809,0.01196499,0.8622246,0.1023862],"study_design_scores_gemma":[0.00001112462,0.000007495591,0.002364087,0.002582344,0.00003986062,0.00007766205,0.0001791243,0.00002181746,0.0001105734,0.0005454703,0.9940474,0.0000130731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00220394,0.06240003,0.002476511,0.004647892,0.005341089,0.0008970769,0.7015262,0.002087004,0.2184203],"genre_scores_gemma":[0.0241587,0.1279929,0.01016766,0.002441352,0.003634507,0.003275428,0.611528,0.001964885,0.2148366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6380565,"threshold_uncertainty_score":0.9101102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08747494484183674,"score_gpt":0.3129822283492465,"score_spread":0.2255072835074098,"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."}}