{"id":"W7154003042","doi":"10.1145/3772318.3808989","title":"10.1145/3772318.3808989","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); Generative grammar; Component (thermodynamics); Generative model","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001906783,0.003807092,0.00259451,0.002857284,0.00272398,0.005141057,0.003094662,0.005597718,0.9598366],"category_scores_gemma":[0.003012127,0.001980514,0.001332466,0.008889443,0.001570078,0.01065502,0.006108874,0.002601844,0.973839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002274512,"about_ca_system_score_gemma":0.001149871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01764519,"about_ca_topic_score_gemma":0.01328549,"domain_scores_codex":[0.9992391,0.00004798865,0.00006563,0.0002357525,0.0002357053,0.0001758631],"domain_scores_gemma":[0.9984518,0.0003361463,0.00006935808,0.0004754718,0.0003660033,0.0003011723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002531056,0.0001820139,0.0004339098,0.0006099726,0.00004220285,0.0002249062,0.00009876317,0.000532265,0.001359662,0.004731887,0.6611174,0.330414],"study_design_scores_gemma":[0.00004480929,0.00003598379,0.0007698092,0.0002740699,0.00004535864,0.0001542583,0.0000832515,0.0007741056,0.0005221491,0.001180922,0.9960748,0.00004050785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001903278,0.004339086,0.009344865,0.0009490612,0.002062617,0.0004583914,0.01007285,0.01487095,0.9559988],"genre_scores_gemma":[0.002514303,0.001590051,0.001441829,0.0005533549,0.0001077373,0.0001809233,0.004853393,0.001469246,0.9872892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0401634,"threshold_uncertainty_score":0.05728811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007743126137496885,"score_gpt":0.1788477572459747,"score_spread":0.1711046311084778,"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."}}