{"id":"W2898566836","doi":"10.1109/services.2018.00015","title":"Pattern Recognition on Usage of Operational Clothing in Canadian Armed Forces","year":2018,"lang":"en","type":"article","venue":"","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; Point (geometry); Operational costs; Business; Database transaction; Transaction data; Computer science; Operations management; Operations research; Marketing; Engineering; Database","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004940698,0.00005049572,0.00007643954,0.00009910923,0.00007574892,0.00005074116,0.00007524189,0.00003289353,0.01406536],"category_scores_gemma":[0.00007911624,0.00004316777,0.00001131831,0.00006156223,0.00004281177,0.0001364392,0.00001097114,0.00001925127,0.0006205437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005252226,"about_ca_system_score_gemma":0.0001278244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2171132,"about_ca_topic_score_gemma":0.5491155,"domain_scores_codex":[0.9993438,0.00005465002,0.0001899495,0.0001238479,0.0001250712,0.0001627251],"domain_scores_gemma":[0.9997171,0.00003338031,0.00003657984,0.0000842576,0.00007219007,0.00005654429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002395292,0.00005707608,0.003538145,0.00001908403,0.00000291851,0.000002230604,0.001857223,0.0001046008,0.9787257,0.0009999051,0.001244301,0.01342491],"study_design_scores_gemma":[0.0005358151,0.0002430471,0.08283296,0.0001117736,0.000006389324,0.000002824022,0.0002291401,0.0036264,0.9087638,0.001951519,0.001484901,0.000211384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890915,0.000001421993,0.0001853112,0.0003896098,0.000352606,0.0001138964,0.00006966243,0.00001276038,0.009783294],"genre_scores_gemma":[0.9985327,0.000001055133,0.0005717196,0.0006246368,0.0001194002,0.00001517869,0.00002666827,0.000004857232,0.000103808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3320023,"threshold_uncertainty_score":0.9868359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04850870171404244,"score_gpt":0.2977130330878971,"score_spread":0.2492043313738547,"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."}}