{"id":"W2358850775","doi":"","title":"Research and Design of Wireless Sensor Networks' Hardware Platform for Agriculture Application","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Wireless Sensor Networks and IoT","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wireless sensor network; Computer science; Wireless; Protocol (science); Embedded system; Key distribution in wireless sensor networks; Wireless network; Computer hardware; Computer network; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003844914,0.0003187401,0.0001580078,0.0003402253,0.0002253379,0.0004464211,0.0006953126,0.0003245568,0.002183217],"category_scores_gemma":[0.0006428745,0.000226602,0.0002274878,0.0002282053,0.0001936004,0.0007398549,0.0001911089,0.0003225896,0.0005465533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000360175,"about_ca_system_score_gemma":0.0005143539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005038562,"about_ca_topic_score_gemma":0.0005419044,"domain_scores_codex":[0.9997197,0.00005727082,0.00001686246,0.00004771604,0.0001272892,0.00003119152],"domain_scores_gemma":[0.9997472,0.00004552961,0.00002256791,0.00002517962,0.0001457957,0.00001383143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003145566,0.0001373521,0.002893098,0.001239405,0.0001116311,0.0004239403,0.0004635528,0.08326803,0.3063659,0.1224638,0.01108951,0.4712293],"study_design_scores_gemma":[0.000112174,0.001385709,0.003656229,0.0002355601,0.0001357304,0.0009549361,0.0002460057,0.4024398,0.3034901,0.01529578,0.2719779,0.00007009062],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07500087,0.004255134,0.8776228,0.001068101,0.000651377,0.0003408379,0.0001008832,0.001176001,0.03978396],"genre_scores_gemma":[0.6786341,0.004848653,0.2874017,0.0002979913,0.000201517,0.0004273897,0.000385498,0.0001326819,0.02767038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002183217,"threshold_uncertainty_score":0.007303655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753972686368028,"score_gpt":0.2393657926129848,"score_spread":0.2218260657493045,"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."}}