{"id":"W7118158636","doi":"10.1145/3731599.3787530","title":"10.1145/3731599.3787530","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); Generative grammar; Generative model","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":[0.001898033,0.0033796,0.002573032,0.003435311,0.00252598,0.005380213,0.003174973,0.00532113,0.9296559],"category_scores_gemma":[0.004111087,0.001993195,0.001407397,0.01096002,0.00156625,0.01163286,0.006461294,0.002873835,0.9588251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002493005,"about_ca_system_score_gemma":0.001274363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01866675,"about_ca_topic_score_gemma":0.01329158,"domain_scores_codex":[0.9991861,0.00005896046,0.00007090183,0.0002287888,0.000299449,0.0001558012],"domain_scores_gemma":[0.9981261,0.000423729,0.00008741766,0.0006477229,0.0004010474,0.0003138884],"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":[0.0002040221,0.0001426872,0.0003974191,0.00058491,0.00004583701,0.0001666648,0.00008831052,0.0006855723,0.0009837612,0.006193304,0.6987811,0.2917264],"study_design_scores_gemma":[0.00003217441,0.00002605707,0.0006846578,0.0002497275,0.00004183396,0.0001298861,0.00005654992,0.0007412835,0.0004726663,0.001673439,0.9958594,0.00003235102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002296194,0.00813375,0.01731073,0.002110115,0.002827436,0.0005782364,0.02798984,0.0246304,0.9141234],"genre_scores_gemma":[0.004247128,0.003471154,0.003003886,0.0008551293,0.0002342407,0.0002688555,0.01631056,0.003055951,0.9685531],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07034409,"threshold_uncertainty_score":0.1003372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05685954126886345,"score_gpt":0.2967850549670017,"score_spread":0.2399255136981383,"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."}}