{"id":"W7021017162","doi":"","title":"Model of smart key apportion system","year":2007,"lang":"en","type":"other","venue":"UMP Institutional Repository (Universiti Malaysia Pahang)","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advantech AMT (Canada)","funders":"","keywords":"Key (lock); Vendor; Interface (matter); Control (management); Control system; Smart card","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002348923,0.0006097078,0.0005968556,0.0006601486,0.0008869049,0.001933043,0.002120959,0.001528252,0.03219511],"category_scores_gemma":[0.0006010179,0.0003287303,0.0006203374,0.0004249079,0.0005621602,0.002103233,0.0007488999,0.0006590111,0.009568618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008874328,"about_ca_system_score_gemma":0.0008565158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003923025,"about_ca_topic_score_gemma":0.001723701,"domain_scores_codex":[0.9992791,0.00007748444,0.00005189889,0.0002291105,0.0002757464,0.00008663425],"domain_scores_gemma":[0.9996916,0.00004351401,0.00003167342,0.00004826094,0.0001639811,0.00002090904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001096508,0.0003419938,0.005092663,0.001169596,0.0001316982,0.002594292,0.001189563,0.4613206,0.07619683,0.2749627,0.03911326,0.1367902],"study_design_scores_gemma":[0.0001603439,0.0003599466,0.0008148404,0.0000870781,0.00008325239,0.0009769691,0.0001137656,0.8665785,0.01693999,0.0283923,0.0854178,0.00007524814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04580362,0.001269527,0.7958384,0.001183687,0.0006603907,0.0007147181,0.002121587,0.009888134,0.1425199],"genre_scores_gemma":[0.7975127,0.001238502,0.07286755,0.0002765177,0.0001526029,0.001086634,0.001947165,0.0002658489,0.1246525],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03219511,"threshold_uncertainty_score":0.1077034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820226089020979,"score_gpt":0.2285977682286979,"score_spread":0.2103955073384881,"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."}}