{"id":"W7154128512","doi":"10.1145/3772318.3809024","title":"10.1145/3772318.3809024","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); Session key; Component (thermodynamics)","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":[0.002252184,0.004276805,0.002981905,0.003134566,0.002950738,0.005675172,0.003560631,0.006485796,0.9553314],"category_scores_gemma":[0.003437152,0.00232723,0.001536191,0.01014772,0.001828859,0.01262684,0.006692816,0.003165562,0.9710094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002676579,"about_ca_system_score_gemma":0.001299629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02146347,"about_ca_topic_score_gemma":0.01564308,"domain_scores_codex":[0.9991444,0.00005220496,0.00007544547,0.0002549293,0.0002765485,0.0001963938],"domain_scores_gemma":[0.9981634,0.0004099485,0.0000835028,0.0005716106,0.0004103028,0.0003612728],"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":[0.0002785881,0.0002125688,0.0004711976,0.0007163702,0.0000489602,0.0002509935,0.0001065336,0.0005942164,0.001372694,0.005166831,0.6712649,0.3195162],"study_design_scores_gemma":[0.00004807393,0.00003894118,0.0008183444,0.0002997251,0.00005196009,0.0001560346,0.00008749316,0.000815414,0.0005676883,0.001318859,0.9957533,0.00004426354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002214132,0.005900794,0.01103502,0.001198471,0.002604989,0.0005399078,0.01341503,0.01843324,0.9446585],"genre_scores_gemma":[0.002811059,0.00205659,0.001633778,0.0006472298,0.0001369515,0.0002166351,0.005936186,0.001815646,0.9847459],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04466861,"threshold_uncertainty_score":0.06371439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007716015835666019,"score_gpt":0.1797800600132387,"score_spread":0.1720640441775726,"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."}}