{"id":"W2463566243","doi":"10.4000/terminal.1326","title":"Mon Big Brother à moi","year":2011,"lang":"fr","type":"article","venue":"Terminal","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Brother; Emancipation; Political science; Art; Ethnology; Sociology; Politics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009793453,0.0001740339,0.0001970638,0.00008673358,0.0002460314,0.000133993,0.0001630603,0.0000685661,0.04000704],"category_scores_gemma":[0.00002075911,0.0001561434,0.0001716075,0.00002626535,0.0003648475,0.00006253275,0.00004271839,0.000120146,0.001556026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002078062,"about_ca_system_score_gemma":0.00004372985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00997359,"about_ca_topic_score_gemma":0.001165814,"domain_scores_codex":[0.9990875,0.00002912104,0.0002257282,0.0002040482,0.0001439152,0.0003097036],"domain_scores_gemma":[0.9994437,0.00002117709,0.00008611623,0.0002551028,0.00008820016,0.0001057065],"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":[0.0000310715,0.0003823655,0.001150472,0.00007349512,0.0001584968,0.0003576956,0.01655352,6.46094e-7,0.000008776827,0.9289295,0.0110156,0.04133834],"study_design_scores_gemma":[0.0002125714,0.0001526994,0.0008920988,0.00008749153,0.0004742667,0.00001506738,0.001798601,0.0003021851,0.000137095,0.01280438,0.9828243,0.0002992572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03973506,0.003935702,0.0000532759,0.0003130049,0.002617354,0.000058735,0.00008429049,0.00003234719,0.9531702],"genre_scores_gemma":[0.6425192,0.0001656252,0.000151595,0.0002351545,0.007324225,0.000005895654,0.000007119297,0.00002749136,0.3495637],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9718087,"threshold_uncertainty_score":0.9992214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09052466687258325,"score_gpt":0.2693700827966799,"score_spread":0.1788454159240966,"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."}}