{"id":"W2987408898","doi":"10.4000/books.editionscnrs.20134","title":"La transculture de l’information : vers une posture multiculturelle de l’information","year":2014,"lang":"fr","type":"book-chapter","venue":"CNRS Éditions eBooks","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001283851,0.000656254,0.0005979397,0.0009662185,0.002103102,0.0006252208,0.001110643,0.001878767,0.001441939],"category_scores_gemma":[0.0004665438,0.0005697011,0.0005513126,0.0002160901,0.001739591,0.0010415,0.0001674079,0.001304327,0.005394433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004290661,"about_ca_system_score_gemma":0.0002465407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008082727,"about_ca_topic_score_gemma":0.0002250981,"domain_scores_codex":[0.9966936,0.0001840169,0.001213832,0.0004031269,0.0008254886,0.000679941],"domain_scores_gemma":[0.9970027,0.0004766026,0.0006989044,0.0008280757,0.0007194807,0.0002742515],"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":[0.00002818409,0.00002001721,0.00001051644,0.00009728862,0.0001102715,0.000009848512,0.004508952,0.0001619564,0.00006662458,0.6667947,0.02347609,0.3047156],"study_design_scores_gemma":[0.001053378,0.0001204786,0.0002336849,0.0002389179,0.0003024456,0.00009853963,0.002589307,0.001723626,0.0001585441,0.06588153,0.9270016,0.0005979778],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001147588,0.0001135279,0.1049792,0.004193011,0.0009114937,0.0009876405,0.0003735874,0.0003736169,0.8869203],"genre_scores_gemma":[0.6596305,0.0003294008,0.0065245,0.002365877,0.0005094835,0.0002400917,0.001690332,0.00007201813,0.3286378],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9035255,"threshold_uncertainty_score":0.9996755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088562308470785,"score_gpt":0.26935371808564,"score_spread":0.2484680950009322,"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."}}