{"id":"W2416308907","doi":"10.7202/1035933ar","title":"Analyse de données textuelles informatisée : l’articulation de trois méthodologies, avantages et limites","year":2016,"lang":"fr","type":"article","venue":"Nouvelles perspectives en sciences sociales","topic":"Educational Research and Analysis","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Humanities; Art; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.008594127,0.0003327465,0.0004422648,0.0004532608,0.002076698,0.0005168534,0.0009675312,0.0003009386,0.001165273],"category_scores_gemma":[0.0112768,0.0002472139,0.000396436,0.001878006,0.009333935,0.001859951,0.000193508,0.0002757902,0.0001914352],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002405804,"about_ca_system_score_gemma":0.007430259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007675478,"about_ca_topic_score_gemma":0.01267453,"domain_scores_codex":[0.9926675,0.00362095,0.0005213077,0.0006278586,0.001259644,0.001302751],"domain_scores_gemma":[0.9898708,0.008686999,0.0003681721,0.0002250128,0.0004474572,0.000401548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003391903,0.0003756383,0.1178159,0.00004646487,0.0002688652,0.00000702905,0.3598379,0.0002774342,0.003930177,0.4866361,0.005469368,0.02530118],"study_design_scores_gemma":[0.0003211731,0.0002084439,0.09899569,0.0002429498,0.0001391078,0.000007166467,0.8214796,0.0005118637,0.0009609299,0.06888635,0.007715704,0.0005310113],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8551576,0.01565206,0.006507131,0.1103362,0.0002877465,0.0002559186,0.00009562803,0.000115725,0.01159207],"genre_scores_gemma":[0.9395642,0.03434997,0.01687331,0.0003611101,0.0008172169,0.00003251329,0.000004944158,0.00001669908,0.007980037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4616417,"threshold_uncertainty_score":0.999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134868776839906,"score_gpt":0.4338466642770781,"score_spread":0.2989778874371721,"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."}}