{"id":"W2205692832","doi":"","title":"eQ Through the FOSP Method","year":2005,"lang":"en","type":"article","venue":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Environmental 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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.005627183,0.002086172,0.001823852,0.001170606,0.003311091,0.003298906,0.007890423,0.001119029,0.001524189],"category_scores_gemma":[0.001104834,0.001683455,0.001133539,0.004467838,0.0004817789,0.007431577,0.002157371,0.003524597,0.008810755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008310914,"about_ca_system_score_gemma":0.0008496324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115375,"about_ca_topic_score_gemma":0.0002237349,"domain_scores_codex":[0.9838439,0.002328974,0.003118197,0.003558313,0.003351706,0.003798914],"domain_scores_gemma":[0.9874897,0.002417846,0.001464191,0.005484038,0.002149508,0.0009947353],"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":[0.0001006649,0.001353441,0.001783249,0.0002728385,0.001136274,0.0001060293,0.01436685,0.01912584,0.002085554,0.7952327,0.09668665,0.06774989],"study_design_scores_gemma":[0.001570884,0.0003024536,0.001677684,0.0002557419,0.000203032,0.0003004103,0.00143384,0.04412842,0.008142595,0.01165141,0.9279773,0.002356282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0040721,0.005290363,0.9047197,0.04053343,0.004649185,0.00267194,0.00007549326,0.002195315,0.03579255],"genre_scores_gemma":[0.5719854,0.001285437,0.2914056,0.01187093,0.006971563,0.001173947,0.0002681457,0.0006510465,0.114388],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8312906,"threshold_uncertainty_score":0.9993886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03793687450490411,"score_gpt":0.2959260905113039,"score_spread":0.2579892160063997,"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."}}