{"id":"W7118172285","doi":"10.1145/3731599.3787549","title":"10.1145/3731599.3787549","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Green IT and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Supercomputer; Key (lock); 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":[0.001565452,0.002857455,0.002114508,0.002462597,0.002354787,0.004611447,0.002708346,0.004847286,0.9422961],"category_scores_gemma":[0.003268732,0.001634465,0.001269359,0.007802924,0.0012865,0.009943077,0.006118656,0.002465744,0.9643681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002044644,"about_ca_system_score_gemma":0.0009148137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375282,"about_ca_topic_score_gemma":0.011036,"domain_scores_codex":[0.999419,0.00003829386,0.00005248356,0.0001680464,0.0001997196,0.0001224971],"domain_scores_gemma":[0.9986382,0.0003081254,0.00006004971,0.0004498534,0.0002839423,0.0002598539],"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":[0.0002106113,0.0001506166,0.0004966585,0.0006021652,0.00003900304,0.0002120008,0.00009983055,0.0005750807,0.001191931,0.007513174,0.6417559,0.347153],"study_design_scores_gemma":[0.00002593461,0.0000261781,0.0006881923,0.0002619392,0.00003383429,0.0001371625,0.00006236983,0.0005674236,0.0004646191,0.001357128,0.9963478,0.00002743392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001652099,0.005222618,0.009385984,0.001080894,0.001822811,0.0003269654,0.01201723,0.01367256,0.9548188],"genre_scores_gemma":[0.003324769,0.002355977,0.001488273,0.000531824,0.0001424139,0.0001665024,0.006414673,0.001741379,0.9838343],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05770391,"threshold_uncertainty_score":0.08230764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002289112771591511,"score_gpt":0.1416283825246974,"score_spread":0.1393392697531059,"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."}}