{"id":"W2137583230","doi":"10.1109/hicss.2012.650","title":"Introduction to the Documenting Work and Working Documents Minitrack","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Work (physics); Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00442756,0.001218969,0.0008763624,0.004253331,0.003457626,0.01392979,0.002284317,0.005576892,0.06191732],"category_scores_gemma":[0.01112362,0.001119985,0.0007884281,0.007594368,0.006406085,0.01433649,0.005229782,0.008286981,0.04357895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003349147,"about_ca_system_score_gemma":0.004781708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003607711,"about_ca_topic_score_gemma":0.002788906,"domain_scores_codex":[0.9947202,0.001998898,0.0005921327,0.0006670326,0.001714138,0.0003074341],"domain_scores_gemma":[0.9860268,0.007214661,0.0009145161,0.001667054,0.00259797,0.001579126],"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":[0.00005021104,0.0000995261,0.00054501,0.001379824,0.000009336793,0.0002028453,0.004337283,0.0002826822,0.001160169,0.1969197,0.4835579,0.3114555],"study_design_scores_gemma":[0.000001682305,0.00001538862,0.0002577338,0.0005983559,0.000001208902,0.0002349264,0.0003639357,0.0000427969,0.00006660933,0.008687089,0.9897202,0.0000101325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.002880157,0.2469072,0.1348466,0.09249904,0.04055243,0.001034348,0.002676858,0.00316482,0.4754385],"genre_scores_gemma":[0.0383967,0.256903,0.1117022,0.02788367,0.03551838,0.001935103,0.005204476,0.003024519,0.5194319],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.06191732,"threshold_uncertainty_score":0.2071341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065268565941649,"score_gpt":0.257247660534611,"score_spread":0.2365949748751945,"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."}}