{"id":"W4312900765","doi":"10.1109/mysurucon55714.2022.9972676","title":"An Accident Identification and Alerting System by Using Raspberry Pi","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Raspberry pi; Identification (biology); Computer science; Accident (philosophy); Computer security; Internet of Things; Botany","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007399426,0.0002810012,0.0002707269,0.0003844954,0.0004869476,0.0003118222,0.0003959775,0.0001016818,0.0006021163],"category_scores_gemma":[0.00002589556,0.000350957,0.00008274196,0.0003040593,0.00004377499,0.0007350564,0.00007572075,0.0004646716,0.00002151558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009738438,"about_ca_system_score_gemma":0.00007229798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004173124,"about_ca_topic_score_gemma":0.0001732349,"domain_scores_codex":[0.9975291,0.0002280858,0.0006920893,0.0005210469,0.0007140411,0.0003156519],"domain_scores_gemma":[0.9990122,0.00005663332,0.0002545796,0.0003159629,0.0002256375,0.0001349922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006203605,0.0000636623,0.01278937,0.0001461447,0.0002174441,0.00001937483,0.001277641,0.03895969,0.9390787,0.001543385,0.002912891,0.002929644],"study_design_scores_gemma":[0.000965589,0.0001082636,0.005625115,0.0001015258,0.00006302012,0.0003925866,0.007892598,0.9246776,0.05344244,0.0000690932,0.005861916,0.000800254],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728089,0.0001493442,0.01376696,0.00005017561,0.01077802,0.0003761069,0.0001733092,0.0005034052,0.001393787],"genre_scores_gemma":[0.9983431,0.00002285653,0.00004905632,0.00003647504,0.0005929384,0.0002037461,0.0003284814,0.00006864268,0.000354748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8857179,"threshold_uncertainty_score":0.9998943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629410760215455,"score_gpt":0.2411098329336992,"score_spread":0.2248157253315447,"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."}}