{"id":"W7153775335","doi":"10.1145/3772318.3808891","title":"10.1145/3772318.3808891","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Component (thermodynamics); Attendance; Experiential learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002103499,0.0001207965,0.0001342228,0.00006883811,0.0001171857,0.0001479643,0.0005975,0.00003972471,0.8946851],"category_scores_gemma":[0.00001931553,0.0001134332,0.00005722698,0.0002416363,0.00001001232,0.0002070063,0.00008424654,0.0001024328,0.9800762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000358061,"about_ca_system_score_gemma":0.00002285809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003394982,"about_ca_topic_score_gemma":4.174164e-8,"domain_scores_codex":[0.998973,0.00005038057,0.0001651957,0.0003002807,0.0002155824,0.0002955706],"domain_scores_gemma":[0.9993666,0.00003933314,0.00002945573,0.0003961418,0.00004941898,0.0001190281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007843402,0.00002398709,5.941904e-7,0.000004245927,0.00001166722,0.00001656023,0.0001038362,0.001213607,0.000123472,0.001351258,0.03720833,0.9599346],"study_design_scores_gemma":[0.00005830152,0.0001005782,0.00003739108,0.00002724904,0.000001720406,0.00001143548,6.854368e-7,0.002974905,0.0001754998,0.00001265304,0.9964431,0.0001564854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003271514,0.00004336418,0.002251236,0.0002889439,0.0000144225,0.0001156679,8.484947e-7,0.000287432,0.996671],"genre_scores_gemma":[0.0007996177,1.249891e-7,0.001605242,0.0000715609,0.0001905369,0.000008944976,9.197015e-7,0.00001172482,0.9973114],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9597781,"threshold_uncertainty_score":0.4625672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0077754585943298,"score_gpt":0.1787990399386629,"score_spread":0.1710235813443331,"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."}}