{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001871129,0.003238713,0.002585036,0.003158761,0.002677055,0.005698092,0.003038996,0.005376382,0.9454959],"category_scores_gemma":[0.00374049,0.001901138,0.001364475,0.01103974,0.001474338,0.0106639,0.006400206,0.002745731,0.9708203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002458059,"about_ca_system_score_gemma":0.001190803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01646398,"about_ca_topic_score_gemma":0.01175709,"domain_scores_codex":[0.9991303,0.00006291179,0.00007048844,0.0002660929,0.0003004916,0.0001697381],"domain_scores_gemma":[0.9980743,0.0004046011,0.00009057164,0.0006556435,0.000432216,0.0003426643],"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":[0.0002000496,0.0001512234,0.0004062442,0.0005156785,0.00004288276,0.0001703993,0.00008603663,0.0005915126,0.001013494,0.005956933,0.6753783,0.3154871],"study_design_scores_gemma":[0.00003235452,0.00002941927,0.0006475181,0.0002540555,0.00004194908,0.0001303466,0.00006076358,0.0006814872,0.0004359646,0.00147732,0.9961755,0.00003321346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00170438,0.005318942,0.0117347,0.001539279,0.002057118,0.0004296136,0.01544144,0.01698159,0.9447929],"genre_scores_gemma":[0.00309881,0.00230253,0.00203666,0.0007419699,0.0001739675,0.0002008629,0.009913109,0.002149848,0.9793823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0545041,"threshold_uncertainty_score":0.07774347,"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."}}