{"id":"W2260681306","doi":"10.1017/cbo9781139149693","title":"Molecular Communication","year":2013,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":663,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Molecular communication; Computer science; Communication theory; Field (mathematics); Key (lock); Data science; Management science; Engineering ethics; Cognitive science; Engineering; Communication; Psychology; Telecommunications; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000611523,0.000289239,0.0002756926,0.0001302239,0.0001030966,0.00005087365,0.001014986,0.0004207619,0.0000075283],"category_scores_gemma":[0.000003379658,0.0003878231,0.0001594198,0.00001717351,0.0001151155,0.00006328333,0.0003518836,0.0006525513,0.00006850345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691719,"about_ca_system_score_gemma":0.00006034008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002810733,"about_ca_topic_score_gemma":7.982139e-7,"domain_scores_codex":[0.9991558,0.0000934219,0.0001676063,0.0001975189,0.0001643203,0.0002212893],"domain_scores_gemma":[0.9981173,0.00004300812,0.00007970796,0.001529236,0.0001003274,0.0001304617],"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":[0.000004562549,0.000005553732,1.381241e-7,0.00008431201,0.000155763,0.00003277195,0.00002165092,0.0005907928,0.0002192255,0.3509087,0.6459646,0.002011996],"study_design_scores_gemma":[0.0002442957,0.000007156109,0.000002225099,0.0001254185,0.00008742462,0.000005023706,0.000006227593,0.005904354,0.0005949332,0.000006208482,0.9926395,0.0003771941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006660363,0.002310267,0.004525568,0.000008998976,0.0001022471,0.0003797486,0.00003175961,0.0005022678,0.9920725],"genre_scores_gemma":[0.001646128,0.001069109,0.0004656869,0.00006079966,0.00002886156,0.000003627933,0.000310368,0.00008460268,0.9963308],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3509025,"threshold_uncertainty_score":0.9998574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010028709580504,"score_gpt":0.1698334276381313,"score_spread":0.1598047180576273,"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."}}