{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000385762,0.0001319824,0.0001378802,0.0000755607,0.000748017,0.0003296844,0.0004966673,0.0001099205,0.002517452],"category_scores_gemma":[0.0004007977,0.0001494183,0.0001251487,0.0002729972,0.0001220917,0.0000110552,0.0007200552,0.0001272358,0.0001519957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003496397,"about_ca_system_score_gemma":0.000006839922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.324268e-7,"about_ca_topic_score_gemma":4.739329e-7,"domain_scores_codex":[0.9987008,0.0001603041,0.0002129055,0.00048235,0.0001329075,0.0003107125],"domain_scores_gemma":[0.9986045,0.00001226264,0.0000800184,0.0005723273,0.000609897,0.0001209873],"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":[0.000139023,0.0001850432,0.00000422296,0.00004047536,0.0001613328,0.00001970402,0.0001480327,0.0005113472,0.3318689,0.0001937327,0.4299666,0.2367615],"study_design_scores_gemma":[0.0003773684,0.0002969546,0.00002441305,0.000009225919,0.00002516241,0.00006252324,0.0001784955,0.001001874,0.04506574,0.00003447794,0.9527578,0.0001659903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1459394,0.01263328,0.6183251,0.001283542,0.0001828091,0.002917191,0.0005147549,0.001904717,0.2162992],"genre_scores_gemma":[0.9511591,0.003853394,0.009244324,0.0009933701,0.0006898101,0.000001304157,0.01998543,0.002783472,0.01128979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8052197,"threshold_uncertainty_score":0.9983944,"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."}}