{"id":"W7125981722","doi":"10.1145/3757377.3794982","title":"10.1145/3757377.3794982","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"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":[0.001773903,0.003252363,0.002322868,0.00271423,0.003007522,0.005573629,0.002994618,0.005766263,0.9462677],"category_scores_gemma":[0.003681075,0.00193601,0.00135801,0.008506858,0.001499571,0.01226497,0.006582533,0.002714461,0.9674621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002618417,"about_ca_system_score_gemma":0.001262352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02211451,"about_ca_topic_score_gemma":0.01972344,"domain_scores_codex":[0.9992502,0.00005325944,0.00007149891,0.0002233549,0.0002430257,0.0001586506],"domain_scores_gemma":[0.9983577,0.0003455458,0.00007620984,0.0005203445,0.0003655983,0.0003346374],"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":[0.0002194925,0.0001346257,0.0004787008,0.000568093,0.00003767166,0.0002025627,0.0001066218,0.0004642201,0.0009808842,0.006234552,0.7079177,0.282655],"study_design_scores_gemma":[0.00002566143,0.00001938882,0.0006631828,0.0002239254,0.00003217211,0.0001151185,0.0000877219,0.000465933,0.0003074057,0.001284972,0.9967487,0.00002589935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001581986,0.005346637,0.00880625,0.001466447,0.002500276,0.0003471952,0.01264889,0.01345947,0.9538428],"genre_scores_gemma":[0.002993345,0.002438443,0.001528449,0.0006692449,0.0001604403,0.0001732334,0.00664217,0.001848799,0.9835459],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05373234,"threshold_uncertainty_score":0.07664263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050117350165865,"score_gpt":0.1718272343292028,"score_spread":0.1613260608275442,"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."}}