{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001875231,0.00375022,0.002596671,0.002833712,0.002707242,0.005236203,0.003062275,0.005946741,0.9585104],"category_scores_gemma":[0.003132244,0.001936543,0.001281603,0.009264472,0.001571508,0.01061535,0.005828665,0.002693338,0.9731302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002266339,"about_ca_system_score_gemma":0.001129998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01789062,"about_ca_topic_score_gemma":0.01321335,"domain_scores_codex":[0.9992717,0.000047021,0.00006290185,0.0002233793,0.0002311982,0.0001637922],"domain_scores_gemma":[0.9984282,0.000348703,0.00007258241,0.0004744501,0.0003721399,0.0003038508],"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":[0.0002445821,0.0001726842,0.0004165055,0.0006061296,0.00003972594,0.0002318545,0.00009343207,0.000528699,0.0012968,0.00489185,0.6706391,0.3208386],"study_design_scores_gemma":[0.00004230906,0.00003431537,0.0007364258,0.0002610291,0.00004283527,0.0001494059,0.00007968108,0.0007642868,0.0005073416,0.001203991,0.996141,0.00003734139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001777546,0.004297324,0.009244434,0.0009807399,0.002009909,0.0004400123,0.01018897,0.01385212,0.9572089],"genre_scores_gemma":[0.002451824,0.001597879,0.001404113,0.0005468231,0.0001118032,0.0001730118,0.004786395,0.001393537,0.9875346],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0414896,"threshold_uncertainty_score":0.05917978,"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."}}