{"id":"W2257850944","doi":"","title":"Inside Theory-Aware and Standards-Compliant Authoring System","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Computer science; Human–computer interaction","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"],"consensus_categories":[],"category_scores_codex":[0.01575728,0.0003937195,0.000512274,0.0002833641,0.0004668947,0.0009975723,0.002280023,0.0003290338,0.00001254006],"category_scores_gemma":[0.001481724,0.0003805147,0.0001568721,0.000333913,0.0002550318,0.0002363637,0.003829577,0.0006862928,0.00001564108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003270264,"about_ca_system_score_gemma":0.0004653736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005883968,"about_ca_topic_score_gemma":0.0007714709,"domain_scores_codex":[0.9935198,0.003434444,0.0005923723,0.001070747,0.0008830624,0.0004995975],"domain_scores_gemma":[0.991976,0.001945914,0.0004645251,0.002776048,0.002618017,0.0002195418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009669413,0.00009983087,0.0008639774,0.0004723163,0.00008391974,0.00004893537,0.008483836,0.00003306713,0.0001816689,0.870246,0.000574159,0.1189026],"study_design_scores_gemma":[0.00416251,0.000005777905,0.05015699,0.03698614,0.0004417965,0.0007935559,0.00725894,0.488242,0.1232932,0.2056304,0.0769745,0.006054172],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01844963,0.002680796,0.9303426,0.002988082,0.0006869247,0.0003704972,0.0000318878,0.0008143727,0.04363526],"genre_scores_gemma":[0.8786457,0.0002565481,0.1196569,0.00009231671,0.00003132918,0.00003260179,0.00002826716,0.00003196935,0.001224424],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.860196,"threshold_uncertainty_score":0.9998647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033572182139663,"score_gpt":0.2542984373165299,"score_spread":0.2339627154951333,"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."}}