{"id":"W4406549050","doi":"10.3390/s25020518","title":"LoRa Resource Allocation Algorithm for Higher Data Rates","year":2025,"lang":"en","type":"article","venue":"Sensors","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Resource allocation; Algorithm; Resource (disambiguation); Data mining; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001166961,0.0008059334,0.0008256948,0.0009140317,0.0007877034,0.001234673,0.001170118,0.0005985783,0.004837686],"category_scores_gemma":[0.004291581,0.0002467725,0.0004598443,0.0008387495,0.0005762176,0.001167567,0.001214497,0.001204511,0.00269297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007683306,"about_ca_system_score_gemma":0.001396446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002039836,"about_ca_topic_score_gemma":0.002338169,"domain_scores_codex":[0.999051,0.000301961,0.00006395572,0.0001586419,0.000266239,0.0001582223],"domain_scores_gemma":[0.998364,0.0006492015,0.0002088094,0.0002948391,0.0004116843,0.00007148524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004562319,0.0002545258,0.0017736,0.000238794,0.0001179865,0.0002295411,0.0003726835,0.3559196,0.03188838,0.04725919,0.02149539,0.539994],"study_design_scores_gemma":[0.00007922707,0.0001226757,0.0003560514,0.00002688151,0.00002329363,0.0002532289,0.0000729977,0.9572555,0.01275609,0.01141748,0.01759501,0.0000415025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008108655,0.0004231819,0.9846551,0.0002776596,0.00009042495,0.0001042153,0.0000715819,0.001293067,0.004976057],"genre_scores_gemma":[0.3281698,0.0004467028,0.6612202,0.0004332528,0.0001445855,0.0005980157,0.0003130122,0.0002875698,0.008386947],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004837686,"threshold_uncertainty_score":0.01618367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839258459042791,"score_gpt":0.2971185884786924,"score_spread":0.2687260038882645,"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."}}