{"id":"W3133437397","doi":"10.37628/ijra.v6i2.1170","title":"Fire Fighting Robot Using IoT","year":2020,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bluetooth; Robot; Arduino; Obstacle; Mobile robot; Engineering; Mobile phone; Simulation; Microcontroller; Computer science; Firefighting; Remote control; Real-time computing; Embedded system; Wireless; Electrical engineering; Artificial intelligence; 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":[0.0002020998,0.0009535617,0.0007999563,0.0009359457,0.0006812724,0.0009437163,0.001274304,0.0008278326,0.01039879],"category_scores_gemma":[0.0003957185,0.0003752981,0.0006937482,0.0004783527,0.0002430208,0.001387615,0.001290502,0.0006181567,0.004238376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373568,"about_ca_system_score_gemma":0.0002965729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011572,"about_ca_topic_score_gemma":0.0008434589,"domain_scores_codex":[0.999584,0.00002759648,0.00003933669,0.00009810413,0.0001704447,0.00008051591],"domain_scores_gemma":[0.9998028,0.00002541123,0.00003200685,0.0000423054,0.00006736784,0.00003010311],"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":[0.001030595,0.0006228202,0.01005927,0.003355263,0.0002160852,0.003307724,0.0007290601,0.01069299,0.1264855,0.01124387,0.1017258,0.7305312],"study_design_scores_gemma":[0.0003721865,0.002280539,0.0228629,0.001363507,0.0006497198,0.009039408,0.0009397189,0.1622148,0.1416845,0.0149499,0.6430792,0.000563624],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.081378,0.009236946,0.5593362,0.001572199,0.002819645,0.001384486,0.002239681,0.04023766,0.3017952],"genre_scores_gemma":[0.7348201,0.004699857,0.1417023,0.002241623,0.0003889282,0.001388355,0.004073747,0.000721832,0.1099633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01039879,"threshold_uncertainty_score":0.03478736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884844060689993,"score_gpt":0.2379802727453749,"score_spread":0.219131832138475,"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."}}