{"id":"W2666577612","doi":"10.29173/cais239","title":"The Many Facets of Document Importance: A Case Study of Office Workers","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Typology; Humanities; Affect (linguistics); Sociology; Philosophy; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002793357,0.0003859556,0.0008048258,0.0002842612,0.0003022185,0.003110795,0.003295929,0.0001693082,0.0003375624],"category_scores_gemma":[0.009358182,0.0002438271,0.0003295039,0.001157474,0.001063892,0.01369269,0.001197365,0.0003503145,0.00001998413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007028643,"about_ca_system_score_gemma":0.0003013676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003584705,"about_ca_topic_score_gemma":0.0002164401,"domain_scores_codex":[0.9950399,0.00008552682,0.002057728,0.0003986711,0.001868129,0.0005500274],"domain_scores_gemma":[0.9441089,0.0006174888,0.003354696,0.0005033612,0.05123841,0.000177132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003614546,0.001014054,0.7694497,0.0004837597,0.0004165956,0.0000136017,0.1518852,0.00003481773,0.001648698,0.007695728,0.02495206,0.04204438],"study_design_scores_gemma":[0.00208632,0.001488352,0.3792746,0.0006483585,0.0005336374,0.0001444657,0.5691532,0.001070888,0.004333602,0.003285495,0.03742668,0.0005543807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901485,0.0005910038,0.000009065432,0.003128983,0.0004050382,0.001499142,0.0001068097,0.00001452343,0.004096875],"genre_scores_gemma":[0.9928542,0.0001801087,0.0001801202,0.00008863393,0.00004172633,0.00007635186,0.000001193031,0.00001706368,0.006560622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.417268,"threshold_uncertainty_score":0.9989864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09536488599130788,"score_gpt":0.3531615869298825,"score_spread":0.2577967009385747,"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."}}