{"id":"W7100337159","doi":"","title":"Author manuscript, published in &amp;quot;ITS&amp;apos;2008: 9th International Conference on Intelligent Tutoring Systems, Workshop on Culturally Aware Tutoring Systems (CATS&amp;apos;2008), Montreal, Canada: (2008)&amp;quot; How the PILÉFACE System, Dealing with Pragmatics, Takes Cultural","year":2009,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Communicative competence; Domain (mathematical analysis); Cultural knowledge; Competence (human resources); Linguistic competence; Cultural communication; Architecture; Cultural diversity","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002437081,0.001617625,0.001617422,0.0006831244,0.001257503,0.006638605,0.003814017,0.0004658236,0.00004181131],"category_scores_gemma":[0.0007453428,0.00107822,0.0002934045,0.00124067,0.0001251845,0.002225407,0.0003507611,0.002052655,0.0001669988],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003837405,"about_ca_system_score_gemma":0.0008863496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1697875,"about_ca_topic_score_gemma":0.2722617,"domain_scores_codex":[0.989086,0.0009239423,0.002264368,0.002271432,0.003368284,0.002085921],"domain_scores_gemma":[0.9927266,0.0006323144,0.00164028,0.002189972,0.002111857,0.0006990189],"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":[0.0004257238,0.0006034505,0.001857537,0.00143373,0.001070874,0.0004024927,0.03146679,0.4066511,0.002122299,0.4915046,0.05790401,0.004557343],"study_design_scores_gemma":[0.001669205,0.0004477863,0.001344074,0.01776613,0.0001382453,0.0009564908,0.04041569,0.07363096,0.0005342632,0.00003914585,0.859245,0.003813002],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1624529,0.006792112,0.7016008,0.02337526,0.0533837,0.01072145,0.0002274389,0.003901444,0.03754487],"genre_scores_gemma":[0.8336181,0.0001206389,0.003743127,0.0002119684,0.001392991,0.0002428771,0.0001532297,0.0001080391,0.160409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.801341,"threshold_uncertainty_score":0.9999867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.180553298474994,"score_gpt":0.3269673613430589,"score_spread":0.1464140628680649,"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."}}