{"id":"W7154094224","doi":"10.1145/3772318.3808987","title":"10.1145/3772318.3808987","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); Workflow; 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":[0.001990611,0.003347949,0.002524604,0.003077911,0.002627382,0.005588629,0.002870012,0.004908029,0.9445836],"category_scores_gemma":[0.003602382,0.001853178,0.001363181,0.01067552,0.001632897,0.0103243,0.006014992,0.002572964,0.9673972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002428613,"about_ca_system_score_gemma":0.001295914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01621992,"about_ca_topic_score_gemma":0.01174036,"domain_scores_codex":[0.9991481,0.00005880492,0.00007469056,0.0002543731,0.0002860248,0.0001780464],"domain_scores_gemma":[0.998058,0.0004085363,0.00008543258,0.0006307439,0.0004796374,0.0003376645],"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":[0.0002254717,0.0001635412,0.0004622128,0.0005588278,0.00004532181,0.0001899968,0.00009767092,0.0006712156,0.001198736,0.006450722,0.6818095,0.3081268],"study_design_scores_gemma":[0.00003550327,0.00002893735,0.0007220552,0.0002507391,0.00004449075,0.0001312756,0.00007144926,0.0008085756,0.0005032693,0.001654929,0.995713,0.00003577442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001891569,0.004475261,0.01216137,0.001363218,0.002386682,0.0004384693,0.01453638,0.01588153,0.9468655],"genre_scores_gemma":[0.003405828,0.002047257,0.002174407,0.0006772378,0.0001532127,0.0002032819,0.00917313,0.002226631,0.979939],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05541641,"threshold_uncertainty_score":0.07904476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0565759414967176,"score_gpt":0.296533057630833,"score_spread":0.2399571161341154,"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."}}