{"id":"W7092185230","doi":"10.17605/osf.io/r2hfg","title":"Formation sur l'art de la requête dans un contexte d'extraction des données","year":2025,"lang":"","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Educational Tools and Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Work (physics); Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02577021,0.0004254545,0.0005094154,0.0002121479,0.001791242,0.0006584715,0.001244782,0.0006324963,0.1756335],"category_scores_gemma":[0.0151974,0.000507053,0.00038601,0.0008673461,0.001354434,0.001693828,0.0006471856,0.0008549065,0.1755135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409376,"about_ca_system_score_gemma":0.001356191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002167557,"about_ca_topic_score_gemma":0.001012243,"domain_scores_codex":[0.9893776,0.006344478,0.001077069,0.001730327,0.0006436609,0.0008269076],"domain_scores_gemma":[0.9920744,0.004485303,0.0005985461,0.001915992,0.0005512388,0.0003745136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004478118,0.002175214,0.06413954,0.0008508132,0.0006285351,0.00001970386,0.1004912,0.00156063,0.0502927,0.1515672,0.03794201,0.5898847],"study_design_scores_gemma":[0.000873027,0.000002478134,0.1916774,0.0006204748,0.0003018402,0.0000341778,0.009050899,0.001152344,0.04154205,0.141932,0.6121857,0.0006276798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1959777,0.00001955749,0.05650135,0.001321005,0.001079975,0.0008557196,0.00001369997,0.0001200485,0.7441109],"genre_scores_gemma":[0.5579558,0.002569556,0.008426165,0.0002806875,0.0002194304,0.0002561759,0.00001651817,0.00003043808,0.4302452],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.589257,"threshold_uncertainty_score":0.9997381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03768010496314049,"score_gpt":0.3553176117775287,"score_spread":0.3176375068143882,"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."}}