{"id":"W4365607329","doi":"","title":"Non-Invasive Green Small Cell Network","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","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":[0.0002548606,0.0002511758,0.000316666,0.0001558474,0.0002419166,0.0006065172,0.0005051093,0.0005593722,0.006495276],"category_scores_gemma":[0.0003174307,0.00006839129,0.0001535723,0.0002359517,0.0003565732,0.0007205159,0.0005591127,0.0004100273,0.001323414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003873314,"about_ca_system_score_gemma":0.0002594515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004307952,"about_ca_topic_score_gemma":0.0008057373,"domain_scores_codex":[0.9998263,0.00001914132,0.0000033096,0.00003978281,0.00009533103,0.00001611096],"domain_scores_gemma":[0.9997059,0.0001181742,0.00002553596,0.00003987396,0.0000721501,0.00003847161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003641605,0.0001496276,0.0007784776,0.0003446044,0.0000271846,0.0003196207,0.0001368307,0.01782193,0.7812829,0.04221003,0.01140084,0.1451638],"study_design_scores_gemma":[0.00008452099,0.0008583544,0.002838482,0.00005521402,0.00005564462,0.000519501,0.0002297429,0.3592549,0.4342226,0.03484314,0.1669744,0.00006352027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2928531,0.005891868,0.6160098,0.003598843,0.001833585,0.000343961,0.0009171829,0.001901316,0.07665038],"genre_scores_gemma":[0.8259332,0.003834537,0.05590646,0.0008151627,0.0002636978,0.0002634877,0.0004697173,0.0000952398,0.1124186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006495276,"threshold_uncertainty_score":0.02172881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329027483236236,"score_gpt":0.1857239700432041,"score_spread":0.1724336952108417,"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."}}