{"id":"W2998159968","doi":"10.3917/elec.miri.2013.01.0453","title":"30. Pour apaiser les conflits, distinguer les faits et les sentiments des opinions","year":2013,"lang":"fr","type":"article","venue":"Bibliothèques","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.001747125,0.0002940701,0.000289498,0.0006227032,0.001632316,0.0007610082,0.0004009177,0.0003909204,0.007186974],"category_scores_gemma":[0.001419814,0.0002952647,0.0001574,0.001582383,0.002828837,0.001518126,0.00007940609,0.000338449,0.0006137891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002079,"about_ca_system_score_gemma":0.0004344636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01702487,"about_ca_topic_score_gemma":0.0006614632,"domain_scores_codex":[0.9967411,0.001387905,0.0004368394,0.0004435682,0.0003650629,0.0006254786],"domain_scores_gemma":[0.9962729,0.002407257,0.0002411648,0.0002034903,0.0006298716,0.000245293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001447833,0.0003211174,0.2702965,0.000123542,0.0001385435,6.28442e-7,0.02963496,0.000007798071,0.000108773,0.6101717,0.07165653,0.01753843],"study_design_scores_gemma":[0.0002866246,0.00005080728,0.468504,0.0003985129,0.00005817283,0.000003158639,0.07236148,0.00005171991,0.00006305804,0.02336849,0.4343878,0.0004662094],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.746442,0.04286873,0.001684479,0.06834564,0.003687175,0.0007560715,0.000177652,0.0003434625,0.1356948],"genre_scores_gemma":[0.9150606,0.01448736,0.007194106,0.0005962967,0.003402642,0.0001329657,0.0001305769,0.00004543025,0.05894998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5868032,"threshold_uncertainty_score":0.9999499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2913355702479545,"score_gpt":0.4663307157280361,"score_spread":0.1749951454800815,"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."}}