{"id":"W6968988558","doi":"10.5683/sp3/vbvcrh","title":"Données et code de réplication pour : Inégalités de réussite, que nous disent les données PISA 2000 à 2018.","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Code (set theory); Reproduction; Order (exchange)","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.005111694,0.00326694,0.001226234,0.00656946,0.001831876,0.003947583,0.003335344,0.002981645,0.0301344],"category_scores_gemma":[0.03138779,0.001403229,0.002264818,0.006892461,0.001206546,0.004067093,0.003961371,0.00375798,0.05285237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003505425,"about_ca_system_score_gemma":0.007233106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09544017,"about_ca_topic_score_gemma":0.1852024,"domain_scores_codex":[0.9921696,0.001319356,0.001186959,0.001603888,0.003055428,0.0006648116],"domain_scores_gemma":[0.9796141,0.005767494,0.001084335,0.006350974,0.006266716,0.0009164134],"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":[0.00008016356,0.00001978917,0.0009122802,0.000532584,0.00003123891,0.00002090131,0.00007577381,0.0002416885,0.0003152038,0.000814897,0.9911218,0.005833704],"study_design_scores_gemma":[0.000104341,0.00001967705,0.004780499,0.0003435659,0.00002509253,0.0001132275,0.0001254668,0.0009857796,0.001290271,0.001836407,0.9903197,0.00005591065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006351531,0.0003584948,0.001211385,0.0003946195,0.0001970242,0.00005275914,0.9884108,0.005898339,0.002841404],"genre_scores_gemma":[0.001093934,0.000123597,0.002380365,0.0001052762,0.00001605517,0.0001354676,0.9940351,0.0007216659,0.001388577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9966646,"threshold_uncertainty_score":0.1897693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05430750210220608,"score_gpt":0.3079672659533252,"score_spread":0.2536597638511191,"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."}}