{"id":"W4405268135","doi":"10.1017/9781108963961","title":"Molecular Communication","year":2024,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Molecular communication; Computer science; Communication theory; Cognitive science; Data science; Nanotechnology; Human–computer interaction; Communication; Telecommunications; Psychology","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":[0.0006832972,0.001647703,0.001206387,0.002005123,0.001432194,0.005214248,0.001867889,0.001999272,0.2941219],"category_scores_gemma":[0.002512489,0.0005418176,0.0007582353,0.002390301,0.001226309,0.00476565,0.002052418,0.003937586,0.226244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983362,"about_ca_system_score_gemma":0.002122165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001969632,"about_ca_topic_score_gemma":0.0031641,"domain_scores_codex":[0.9988545,0.000100253,0.00005640401,0.0002767891,0.0006339581,0.00007808161],"domain_scores_gemma":[0.9990231,0.0001980823,0.00006301323,0.0001329282,0.0004564567,0.0001264502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003537612,0.00001729872,0.0000357149,0.0004396687,0.000007484336,0.00007320621,0.00007977378,0.000159051,0.001554679,0.01687359,0.825849,0.1548752],"study_design_scores_gemma":[0.000001137888,0.000005578418,0.00002595295,0.00005540591,0.000001298695,0.00006864409,0.00001147074,0.0000214884,0.0001347487,0.0008986534,0.9987724,0.000003236624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007078729,0.1074697,0.00981085,0.01177385,0.09671471,0.0001589508,0.00352463,0.001818663,0.7680207],"genre_scores_gemma":[0.001236051,0.01609,0.001854641,0.002381796,0.002365236,0.00004802971,0.00109911,0.0002764699,0.9746488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2941219,"threshold_uncertainty_score":0.9839358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105934978339432,"score_gpt":0.1816500843283097,"score_spread":0.1710565864943665,"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."}}