{"id":"W7118002167","doi":"10.1145/3712285.3787159","title":"10.1145/3712285.3787159","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Matching (statistics); Component (thermodynamics); Key (lock); System integration","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":[0.0017469,0.003540572,0.00277454,0.002838921,0.002489423,0.004466283,0.003240245,0.005417724,0.9440609],"category_scores_gemma":[0.003375133,0.001930132,0.001394989,0.01066841,0.001554913,0.01009139,0.005755273,0.003087001,0.9610677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002690086,"about_ca_system_score_gemma":0.001087668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0199311,"about_ca_topic_score_gemma":0.01453171,"domain_scores_codex":[0.9992855,0.00005116394,0.00005510862,0.0002079219,0.0002468512,0.0001534459],"domain_scores_gemma":[0.9984981,0.0003689438,0.00007945792,0.00051864,0.0002948574,0.0002400291],"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":[0.0002863043,0.0002072881,0.0004721224,0.0006445174,0.00004644291,0.0002006455,0.00008633055,0.0009493993,0.00100387,0.007230065,0.6684942,0.3203788],"study_design_scores_gemma":[0.00005295945,0.0000422753,0.0008427685,0.0003124487,0.00004939967,0.000168626,0.00007611325,0.001225699,0.0005644843,0.002138277,0.9944912,0.00003572051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002672418,0.007617143,0.01401569,0.001820872,0.002024063,0.0005063865,0.02034802,0.01800276,0.9329926],"genre_scores_gemma":[0.005386728,0.003235364,0.002766778,0.0009077564,0.0001647422,0.0002798838,0.01010368,0.002239704,0.9749153],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05593908,"threshold_uncertainty_score":0.07979023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008104480321622224,"score_gpt":0.190796799601725,"score_spread":0.1826923192801028,"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."}}