{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002830029,0.0001167333,0.0001734117,0.0002418948,0.000184171,0.0005987035,0.001346447,0.00002945472,0.9962984],"category_scores_gemma":[0.0007103411,0.00009072433,0.00007681763,0.001151584,0.00004702812,0.0001902023,0.000313141,0.0000614676,0.9974357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000213922,"about_ca_system_score_gemma":0.00002213717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002175995,"about_ca_topic_score_gemma":3.316164e-7,"domain_scores_codex":[0.99733,0.00009393178,0.0003924969,0.0007027393,0.001164771,0.0003160544],"domain_scores_gemma":[0.9979126,0.0003312652,0.00005207041,0.001404622,0.0001005247,0.0001989613],"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":[0.000009696168,0.00001554349,3.621386e-7,2.401362e-7,0.000002158174,0.000002570991,0.00001086421,0.0002861122,0.000002958189,0.000003921895,0.4877835,0.5118821],"study_design_scores_gemma":[0.0001130065,0.00004833128,0.0001985023,0.000005526823,0.000004763386,0.000002828602,0.000005048973,0.004029167,0.00001095903,0.0001951864,0.9952589,0.0001277356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002287086,0.0000191961,0.00005369393,0.0009314822,0.00002824184,0.0001360067,0.00002025569,0.0001313213,0.9963927],"genre_scores_gemma":[0.0009553056,6.737249e-8,0.0004928082,0.0001794449,0.0001100215,0.000004596561,0.000009992791,0.000007927164,0.9982398],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5117543,"threshold_uncertainty_score":0.5773311,"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."}}