{"id":"W7153979123","doi":"10.1145/3772318.3809019","title":"10.1145/3772318.3809019","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Generative grammar; Generative model; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003366484,0.0002174469,0.0002460432,0.0001092839,0.0001167831,0.0002025895,0.001553849,0.00007425302,0.9312076],"category_scores_gemma":[0.00004421252,0.0002129412,0.0001018977,0.0006734664,0.00004572176,0.000312656,0.0004265985,0.00014225,0.9686408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008082125,"about_ca_system_score_gemma":0.00006406667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003259581,"about_ca_topic_score_gemma":2.642948e-7,"domain_scores_codex":[0.9981059,0.00009444311,0.0002730257,0.00064967,0.0003839129,0.0004930289],"domain_scores_gemma":[0.9983345,0.0001324312,0.00003620865,0.001152885,0.00008455417,0.0002594305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008877712,0.00008800512,6.918112e-7,0.000003762076,0.000007970189,0.00001395462,0.00004877249,0.0007090076,0.00001767331,0.00006353241,0.03733118,0.9617066],"study_design_scores_gemma":[0.0001858803,0.0002048828,0.0002487231,0.000006987686,0.000004203455,0.00002674696,2.877227e-7,0.03450382,0.00006323108,0.0004833824,0.9639925,0.0002794072],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008894317,0.00006551824,0.003635461,0.001369874,0.0000228581,0.0003314509,0.000005403644,0.000745733,0.9929343],"genre_scores_gemma":[0.000427485,2.291552e-7,0.01982252,0.0002169017,0.0001725087,0.00001855126,0.000003157733,0.00001657307,0.9793221],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9614272,"threshold_uncertainty_score":0.8683489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006433923958321936,"score_gpt":0.1776344196637238,"score_spread":0.1712004957054018,"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."}}