{"id":"W7117975936","doi":"10.1145/3712285.3787167","title":"10.1145/3712285.3787167","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); Simulation training; Debriefing; Session key","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":[0.002854856,0.0001162466,0.0001718493,0.0002407865,0.0001827606,0.0005918272,0.001337277,0.00002936962,0.99638],"category_scores_gemma":[0.0007498847,0.00009031215,0.00007636134,0.001142632,0.00004587154,0.0001865529,0.0003150961,0.0000611681,0.9976158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002101569,"about_ca_system_score_gemma":0.00002140492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002286233,"about_ca_topic_score_gemma":2.995106e-7,"domain_scores_codex":[0.9973258,0.00009298387,0.0003951828,0.0007008376,0.001171558,0.0003136501],"domain_scores_gemma":[0.9979063,0.0003375182,0.00005160402,0.001403883,0.0001052529,0.0001953933],"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":[0.000009480215,0.00001654062,2.668643e-7,2.401857e-7,0.00000212817,0.000003386496,0.00001073494,0.0002452319,0.00000349384,0.000003080024,0.4897397,0.5099657],"study_design_scores_gemma":[0.0001141905,0.00004781274,0.0001541469,0.000005680905,0.000004804448,0.000003486616,0.000004372635,0.003781833,0.000009189599,0.0001880181,0.9955592,0.0001272372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002371421,0.00002066279,0.00005229075,0.0008758516,0.00002782245,0.0001360326,0.0000198752,0.0001322781,0.9963638],"genre_scores_gemma":[0.0008073446,7.294283e-8,0.0006498103,0.0001896629,0.0001068263,0.000004666844,0.00000984219,0.00000783652,0.998224],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5098385,"threshold_uncertainty_score":0.5707003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05694657259919567,"score_gpt":0.2967989824378157,"score_spread":0.2398524098386201,"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."}}