{"id":"W4385628550","doi":"10.23977/jeis.2023.080302","title":"Forest Fire Protection System Based on LoRa Technology","year":2023,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ALARM; Base station; Fire prevention; Environmental science; Smoke; Computer science; Real-time computing; Manual fire alarm activation; Transmission (telecommunications); Cloud computing; Point cloud; Remote sensing; Telecommunications; Meteorology; Engineering; Architectural engineering; Geography; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007045409,0.00005241221,0.00008210577,0.0006940215,0.000131561,0.0000763236,0.0001035701,0.00004520608,0.000001103187],"category_scores_gemma":[0.00006020309,0.00004240134,0.00002168663,0.001395108,0.00003648907,0.001247896,0.000006892573,0.0001674384,0.00002415627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698511,"about_ca_system_score_gemma":0.00008798901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.403963e-7,"about_ca_topic_score_gemma":9.474385e-7,"domain_scores_codex":[0.9992514,0.000004989911,0.0002825499,0.00003413869,0.0002722359,0.0001546823],"domain_scores_gemma":[0.9995928,0.000009890317,0.0001166892,0.00007122177,0.0001671354,0.00004224165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008161276,0.00001400229,0.000380003,0.0004727026,0.00001846981,0.00000536175,0.0005861887,0.7737513,0.01299314,0.02681779,0.001076228,0.1838032],"study_design_scores_gemma":[0.0001579201,0.0002412194,0.0009196769,0.00005529471,0.000001596808,0.00007178545,0.0002073088,0.9732404,0.002067121,0.0000361711,0.02295229,0.0000491993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608065,0.0001270563,0.03231096,0.0009231668,0.001177487,0.0002779773,0.000002299707,0.0003751151,0.003999474],"genre_scores_gemma":[0.9998342,0.00006733485,0.00003816744,0.00002358932,0.00002347047,0.000004287603,3.757424e-7,0.000002789018,0.000005797718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1994892,"threshold_uncertainty_score":0.1729076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005407625189596176,"score_gpt":0.1926989820185985,"score_spread":0.1872913568290023,"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."}}