{"id":"W7095313403","doi":"","title":"This research is partially supported by NSERC grant OGP0005527","year":2007,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lost sales; Markov chain; Service (business); Stock (firearms); Lead time; Service level; Markov model; Markov process","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003880451,0.001970539,0.002778915,0.003213724,0.002393025,0.002491423,0.003575016,0.001845207,0.295885],"category_scores_gemma":[0.01509068,0.0005366563,0.001205562,0.002910355,0.001851509,0.003453097,0.003501115,0.001482116,0.09271067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00909223,"about_ca_system_score_gemma":0.01772141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3480864,"about_ca_topic_score_gemma":0.3768481,"domain_scores_codex":[0.9955159,0.0006444879,0.0001324207,0.0006103247,0.0024148,0.0006820363],"domain_scores_gemma":[0.9815586,0.005051416,0.0004753217,0.001662661,0.008781188,0.002470793],"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":[0.002308744,0.000662329,0.006463686,0.0004880875,0.0002398949,0.001259775,0.001143435,0.008829703,0.004805252,0.03556157,0.6353405,0.3028971],"study_design_scores_gemma":[0.000805729,0.0004624905,0.01099824,0.0003878521,0.0001605296,0.0006082229,0.001486113,0.02503792,0.003199638,0.01589395,0.9407544,0.0002049182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05018308,0.004208746,0.03062949,0.04462114,0.008194839,0.001449771,0.07512255,0.008904856,0.7766855],"genre_scores_gemma":[0.1785334,0.004083629,0.02644254,0.002024167,0.0005817534,0.0002379031,0.03590139,0.003207531,0.7489876],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.704115,"threshold_uncertainty_score":0.989834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04338966043534916,"score_gpt":0.332269376911218,"score_spread":0.2888797164758689,"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."}}