{"id":"W7118174389","doi":"10.1145/3731599.3787532","title":"10.1145/3731599.3787532","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); Software; Computer software; 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":[0.001904452,0.003338993,0.002545397,0.003397818,0.002543865,0.005372229,0.003054555,0.005286808,0.9326197],"category_scores_gemma":[0.004227388,0.001980335,0.001397716,0.0110125,0.001591369,0.011682,0.006267936,0.002890239,0.9608256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002470189,"about_ca_system_score_gemma":0.001261036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01792819,"about_ca_topic_score_gemma":0.01313884,"domain_scores_codex":[0.9991912,0.00005880005,0.00007150096,0.0002334293,0.000293303,0.0001518336],"domain_scores_gemma":[0.9980742,0.0004377714,0.00009190594,0.0006538563,0.0004161375,0.0003261594],"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":[0.00019739,0.0001352397,0.0004152526,0.0005653275,0.00004439918,0.0001742298,0.00008751071,0.0006507881,0.0009835477,0.006011315,0.6980224,0.2927126],"study_design_scores_gemma":[0.00003116145,0.0000259092,0.0007042474,0.0002487144,0.00004060171,0.0001344374,0.00005782963,0.0006938586,0.0004653942,0.001690892,0.9958751,0.00003186008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002194037,0.007822271,0.0164187,0.002128824,0.002766915,0.0005572352,0.02662148,0.02301838,0.9184721],"genre_scores_gemma":[0.004067962,0.003247258,0.00286719,0.0008781721,0.0002230715,0.0002590502,0.01479778,0.002973132,0.9706863],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06738031,"threshold_uncertainty_score":0.09610975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05719438603195238,"score_gpt":0.296168573506792,"score_spread":0.2389741874748396,"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."}}