{"id":"W2903929303","doi":"10.3917/sta.122.0009","title":"Évaluer la recherche dans une section universitaire interdisciplinaire : les effets de la conversion bibliométrique au sein des Sciences et Techniques des Activités Physiques et Sportives (STAPS)","year":2018,"lang":"fr","type":"article","venue":"Staps","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.105603,0.0009688745,0.002266259,0.01127523,0.004838161,0.01877951,0.002972556,0.002783323,0.02460548],"category_scores_gemma":[0.2753814,0.0007971613,0.002829938,0.02113665,0.004706851,0.009466616,0.0106597,0.004008155,0.005446836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01489529,"about_ca_system_score_gemma":0.03665884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0329487,"about_ca_topic_score_gemma":0.03662276,"domain_scores_codex":[0.8156934,0.1073382,0.01375848,0.007951938,0.05061947,0.004638545],"domain_scores_gemma":[0.5874563,0.2389427,0.04580773,0.02346414,0.09378267,0.0105464],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002263437,0.0007717761,0.1708383,0.02456254,0.003421202,0.0002926841,0.04810246,0.001561748,0.003023635,0.0498055,0.02203165,0.673325],"study_design_scores_gemma":[0.0006033984,0.003229582,0.4279028,0.02927085,0.004391117,0.0005976536,0.07920118,0.001528555,0.008123494,0.01738523,0.4273859,0.0003802569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5124515,0.1234531,0.02831007,0.07830327,0.004350106,0.003545648,0.008906553,0.001195187,0.2394845],"genre_scores_gemma":[0.8940736,0.0326312,0.0249707,0.00913348,0.001043234,0.002837916,0.00231279,0.000502556,0.03249462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9887248,"threshold_uncertainty_score":0.5584888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.492218523667548,"score_gpt":0.5596959931432413,"score_spread":0.06747746947569327,"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."}}