{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007587516,0.000282893,0.0002506877,0.0001651698,0.00007770357,0.00006225058,0.0008604917,0.0003921376,0.000002989793],"category_scores_gemma":[0.000002554918,0.0003748239,0.0001903815,0.00002387646,0.0001024019,0.00003949216,0.0004099267,0.0008142373,0.00007344773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003129607,"about_ca_system_score_gemma":0.00007684837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001107228,"about_ca_topic_score_gemma":0.000001057703,"domain_scores_codex":[0.9991916,0.00006990755,0.0001574581,0.0002210423,0.0001631333,0.0001968713],"domain_scores_gemma":[0.9984321,0.00003781369,0.00004517872,0.001318787,0.00006003222,0.0001060927],"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":[0.000004714736,0.00000312092,3.246333e-8,0.0001662465,0.0001809447,0.0001104814,0.00002521433,0.0004626052,0.0001262187,0.4621366,0.5355631,0.001220714],"study_design_scores_gemma":[0.0001477288,0.000006586085,4.128349e-7,0.0002741975,0.0001704315,0.000008327862,0.000006144582,0.006759236,0.0005131025,0.00001436924,0.9917497,0.0003497872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000234322,0.007333584,0.002983035,0.00001342239,0.0001945087,0.0002596323,0.00006533608,0.000792144,0.9883349],"genre_scores_gemma":[0.001583859,0.001360873,0.0002424963,0.00004630514,0.00003848248,0.000002130729,0.0003076315,0.0001033388,0.9963149],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4621223,"threshold_uncertainty_score":0.9998704,"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."}}