{"id":"W2482396449","doi":"10.1522/cla.thj.ind2","title":"Individualisation, universalisation, democratisation","year":2005,"lang":"fr","type":"book","venue":"Classiques des sciences sociales.","topic":"Political and Social Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001718781,0.000558357,0.0004969458,0.001261177,0.001939663,0.004146671,0.0005367512,0.001035956,0.008387771],"category_scores_gemma":[0.001859755,0.0002202791,0.0004047561,0.002315707,0.01769914,0.003670662,0.002536632,0.001668584,0.001120625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004389262,"about_ca_system_score_gemma":0.002572951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007585554,"about_ca_topic_score_gemma":0.007586871,"domain_scores_codex":[0.998517,0.0005883502,0.00004589825,0.0003745122,0.0002222492,0.0002520365],"domain_scores_gemma":[0.999378,0.0002149621,0.00007235717,0.000215175,0.0000728503,0.00004676812],"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":[0.000006607534,0.000007801705,0.0002551499,0.00012357,0.000008210498,0.00002884536,0.002056597,0.0005088174,0.00009415075,0.9674873,0.008272559,0.02115038],"study_design_scores_gemma":[0.000009144232,0.00001852785,0.002094682,0.0001515616,0.000008858786,0.0001395837,0.001176619,0.000263948,0.0001378122,0.6757048,0.3202858,0.000008696146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01822701,0.04756656,0.005354471,0.0124835,0.0005922872,0.00004862949,0.0001492018,0.0001166332,0.9154617],"genre_scores_gemma":[0.7424828,0.03083847,0.003354636,0.002080944,0.0009487346,0.0001721758,0.0002169011,0.0001011921,0.2198042],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008387771,"threshold_uncertainty_score":0.0318464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2367874873944908,"score_gpt":0.3809357178202449,"score_spread":0.144148230425754,"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."}}