{"id":"W7118009298","doi":"10.1145/3712285.3787182","title":"10.1145/3712285.3787182","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Training (meteorology); Scale (ratio); 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":[0.001940002,0.003933686,0.002858595,0.003293714,0.003054175,0.005822915,0.003427243,0.005974871,0.9496379],"category_scores_gemma":[0.003834018,0.002300496,0.001530772,0.01064276,0.001657398,0.01319557,0.007149962,0.003256292,0.9704518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00283107,"about_ca_system_score_gemma":0.001256768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02051144,"about_ca_topic_score_gemma":0.01573671,"domain_scores_codex":[0.9991247,0.00005697456,0.00007353296,0.0002540084,0.0002974216,0.0001934703],"domain_scores_gemma":[0.9980479,0.0004222936,0.00009770576,0.0006720047,0.0004042094,0.0003559377],"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":[0.0002400793,0.0002006244,0.0004736478,0.0005721604,0.00004328932,0.000201096,0.00009819598,0.0005700684,0.001049634,0.005479769,0.6871137,0.3039576],"study_design_scores_gemma":[0.00004059576,0.00003596571,0.000794735,0.0002855499,0.00004506725,0.0001369223,0.00008892656,0.0007962759,0.0005175667,0.001551018,0.9956712,0.00003620813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002231805,0.006230566,0.01249952,0.001721838,0.002551114,0.0004999227,0.01878088,0.02172511,0.9337592],"genre_scores_gemma":[0.003309099,0.002329232,0.001823195,0.0007426211,0.0001638632,0.0002164982,0.00856973,0.002307392,0.9805383],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05036211,"threshold_uncertainty_score":0.07183534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004386865565860312,"score_gpt":0.1882497674172574,"score_spread":0.183862901851397,"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."}}