{"id":"W1904349907","doi":"10.1109/tmbmc.2015.2465513","title":"Defining Communication at the Bottom","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Molecular Biological and Multi-Scale Communications","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Interoperability; Scope (computer science); Computer science; Scale (ratio); Field (mathematics); Cover (algebra); Data science; Systems engineering; Management science; Engineering; World Wide Web; Mathematics; Geography; Mechanical engineering","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":[0.01469522,0.002156819,0.001229966,0.003112065,0.009488706,0.02061974,0.003561646,0.0113049,0.01742145],"category_scores_gemma":[0.02437656,0.001745007,0.001638249,0.001949034,0.02288524,0.02832134,0.01079835,0.01472889,0.01284144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0061426,"about_ca_system_score_gemma":0.01060083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009107847,"about_ca_topic_score_gemma":0.00409087,"domain_scores_codex":[0.9808068,0.007172303,0.001626012,0.002603865,0.005822059,0.001968911],"domain_scores_gemma":[0.9787496,0.00758236,0.000973805,0.004322887,0.006880093,0.001491435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008127522,0.000008407049,0.00005123229,0.000101876,0.000003622695,0.00005449875,0.0007812119,0.0002207909,0.000348296,0.9812322,0.008303999,0.008885772],"study_design_scores_gemma":[0.000009437607,0.0000314685,0.0001064979,0.0006070623,0.00001642052,0.0002447445,0.00071672,0.0007606092,0.001122477,0.4263617,0.5699776,0.0000453175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003480742,0.009172926,0.5171551,0.04770469,0.007919314,0.0005895208,0.0004654,0.001136734,0.4123755],"genre_scores_gemma":[0.2511176,0.02305497,0.4664868,0.04374478,0.008496178,0.002621166,0.00114887,0.002819008,0.2005106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02061974,"threshold_uncertainty_score":0.07771665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04765826398991285,"score_gpt":0.2685190878323818,"score_spread":0.2208608238424689,"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."}}