{"id":"W7118178148","doi":"10.1145/3731599.3787542","title":"10.1145/3731599.3787542","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Visualization; Data visualization; Key (lock)","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":[0.0020239,0.003419279,0.002636975,0.003451775,0.002670337,0.005523698,0.003159845,0.005384302,0.9310866],"category_scores_gemma":[0.004137476,0.002013131,0.001415363,0.01128083,0.001620049,0.01195549,0.006460499,0.002932115,0.9603255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002535485,"about_ca_system_score_gemma":0.001285018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01831829,"about_ca_topic_score_gemma":0.01300456,"domain_scores_codex":[0.9991395,0.00006246256,0.00007504161,0.0002498042,0.0003107086,0.0001624116],"domain_scores_gemma":[0.9980701,0.0004376673,0.00009150492,0.0006543012,0.0004200696,0.0003264353],"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":[0.0002113277,0.0001487313,0.0004285176,0.0005999639,0.0000479675,0.0001836674,0.0000958661,0.0006823961,0.001026563,0.006528261,0.6893318,0.3007148],"study_design_scores_gemma":[0.00003230306,0.00002752332,0.0007058748,0.0002622928,0.00004301134,0.0001388986,0.00006098586,0.0007126805,0.0004748911,0.001663304,0.9958448,0.00003337819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002336268,0.00800164,0.01649197,0.00204419,0.002741367,0.0005540084,0.02602494,0.02241971,0.919386],"genre_scores_gemma":[0.004149182,0.003360946,0.002934234,0.000862449,0.000223682,0.0002638676,0.01475178,0.002927001,0.9705269],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0689134,"threshold_uncertainty_score":0.09829658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05644024061819416,"score_gpt":0.2965107627414934,"score_spread":0.2400705221232992,"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."}}