{"id":"W4366502825","doi":"10.1109/icidca56705.2023.10099790","title":"IoT-based Automatic LPG Refilling and Leakage Detection System","year":2023,"lang":"en","type":"article","venue":"","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Liquefied petroleum gas; Leakage (economics); Web server; Computer science; Doors; Refrigerant; GSM; Microcontroller; Automotive engineering; Real-time computing; Embedded system; Engineering; Operating system; Gas compressor; The Internet; Mechanical engineering; Waste management","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":[0.002499643,0.00008020923,0.0002118279,0.0004357431,0.0002633721,0.000184949,0.0001810539,0.0000566731,0.0001799547],"category_scores_gemma":[0.000607282,0.00005256001,0.00009668338,0.00176565,0.00003258454,0.0000901055,0.00005155231,0.0000608889,0.001459695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002868827,"about_ca_system_score_gemma":0.00001842161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001285947,"about_ca_topic_score_gemma":0.0002737922,"domain_scores_codex":[0.9982702,0.0001518976,0.0004120361,0.00030589,0.0006992882,0.0001607048],"domain_scores_gemma":[0.9984822,0.000907639,0.0001022175,0.0003469659,0.00008569006,0.00007524039],"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":[0.00001806889,0.0000158893,0.005771873,0.00005459271,0.0000435305,0.00003962129,0.0004148344,0.01369307,0.004473859,0.0009767353,0.001439854,0.973058],"study_design_scores_gemma":[0.000141067,0.0000216625,0.01293009,0.00001426527,0.00001982681,0.000003372128,0.002311975,0.9791754,0.002717961,0.001611087,0.0009664204,0.00008685634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921715,0.00003149857,0.06900993,0.0007314045,0.0002112999,0.00008646117,0.000002247352,0.0005472196,0.007664924],"genre_scores_gemma":[0.995912,0.000009629946,0.001362035,0.00004911252,0.00002972851,0.000005740142,0.000001246924,0.000005958293,0.002624589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9729712,"threshold_uncertainty_score":0.9993178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08721118666674556,"score_gpt":0.3568775499919725,"score_spread":0.269666363325227,"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."}}