{"id":"W331369963","doi":"10.3917/inso.137.0036","title":"Du bon usage des échelles d'équivalence","year":2007,"lang":"fr","type":"article","venue":"Informations sociales","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Political science; 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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002415055,0.0002050367,0.000219152,0.00008230851,0.003070009,0.0002691263,0.0005708736,0.0002983472,0.0008074566],"category_scores_gemma":[0.0007078924,0.0002239026,0.0002021035,0.001600916,0.005027696,0.002574862,0.0000939766,0.0002246308,0.0007397849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007256767,"about_ca_system_score_gemma":0.0009389783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03983067,"about_ca_topic_score_gemma":0.07505922,"domain_scores_codex":[0.9974081,0.0001211887,0.0005903983,0.0001842893,0.0007912652,0.0009047574],"domain_scores_gemma":[0.9983412,0.0005396949,0.0004190542,0.0001563896,0.0002796189,0.0002640409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005950266,0.00008387177,0.01614406,0.00004596628,0.00002207015,0.000004864973,0.1563101,0.00003795377,0.00001051358,0.6331825,0.02958353,0.1645686],"study_design_scores_gemma":[0.0002073434,0.00004075767,0.0928079,0.0001169323,0.00003374561,0.000004097697,0.09110999,0.0001057423,0.00005792422,0.02908203,0.7860498,0.0003836694],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5116364,0.006050227,0.007072135,0.02446455,0.003694068,0.0003662247,0.0001362657,0.000170416,0.4464097],"genre_scores_gemma":[0.9632457,0.004632214,0.002431807,0.0009053311,0.001964814,0.00001004987,0.00001079782,0.00001278152,0.02678644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7564663,"threshold_uncertainty_score":0.9982278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08172880149686663,"score_gpt":0.3459732192347836,"score_spread":0.264244417737917,"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."}}