{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001415529,0.003198853,0.001986476,0.002404966,0.002668266,0.004937369,0.002718838,0.004954658,0.9508435],"category_scores_gemma":[0.002809491,0.001513558,0.00122123,0.007914129,0.001666886,0.01054286,0.00603307,0.002865446,0.9692438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002664307,"about_ca_system_score_gemma":0.001146848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01529663,"about_ca_topic_score_gemma":0.0127098,"domain_scores_codex":[0.9992766,0.00005227958,0.00006714719,0.0002172432,0.0002354618,0.000151253],"domain_scores_gemma":[0.9988843,0.0002318852,0.000050478,0.0003659796,0.0002741398,0.0001932666],"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":[0.0001868653,0.0001331307,0.0003555339,0.0004927251,0.00002675297,0.0001734248,0.00008924286,0.0003577203,0.001104492,0.005797173,0.759198,0.2320849],"study_design_scores_gemma":[0.00002875891,0.00002115792,0.0005876964,0.0001909086,0.00002286525,0.0001089276,0.00008085791,0.0006034847,0.000407197,0.001758844,0.9961604,0.0000288114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001533303,0.004238786,0.009777923,0.001514966,0.002421672,0.000365718,0.01481619,0.01680016,0.9485313],"genre_scores_gemma":[0.004268725,0.002256657,0.002045693,0.0009358253,0.0001390119,0.0002400098,0.009102453,0.002570673,0.9784409],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04915655,"threshold_uncertainty_score":0.07011575,"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."}}