{"id":"W6931146458","doi":"10.5281/zenodo.4733513","title":"OPTIMUM NEIGHBORS FOR RESOURCECONSTRAINED MOBILE AD HOC NETWORKS","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Mobile ad hoc network; Optimized Link State Routing Protocol; Wireless ad hoc network; Network packet; Routing protocol; Mobile computing; Bandwidth (computing); Vehicular ad hoc network; Ad hoc wireless distribution service","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":[0.0008356352,0.000474893,0.0007286015,0.0006195563,0.00069812,0.0008794822,0.000773571,0.000723877,0.002111004],"category_scores_gemma":[0.003747996,0.0003875461,0.0003469973,0.0005584889,0.0007905448,0.002130213,0.0007296841,0.0006861325,0.0003902488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000438174,"about_ca_system_score_gemma":0.0003861602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006176399,"about_ca_topic_score_gemma":0.001231549,"domain_scores_codex":[0.9993279,0.0002243663,0.00003425715,0.0001268612,0.0002342273,0.00005240286],"domain_scores_gemma":[0.9987997,0.0007959848,0.0001337278,0.0000807442,0.000148015,0.00004189118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002141757,0.00005453957,0.0012349,0.0006922492,0.00006445255,0.0004023813,0.0003007041,0.5983647,0.009799983,0.292491,0.003991036,0.09238992],"study_design_scores_gemma":[0.00007545585,0.0002594741,0.0006084755,0.0001315244,0.00006396615,0.0008155211,0.000212028,0.8217477,0.00464806,0.1342799,0.03709428,0.00006352608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02895596,0.00737383,0.9513515,0.0004990229,0.0002524695,0.00009529912,0.00008926249,0.0001801732,0.01120262],"genre_scores_gemma":[0.5535743,0.008678956,0.4297406,0.0002386489,0.0002777229,0.0002506561,0.0001481001,0.0001322241,0.006958745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002111004,"threshold_uncertainty_score":0.007062078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288181884512445,"score_gpt":0.2449562786030247,"score_spread":0.2320744597579003,"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."}}