{"id":"W4404014197","doi":"10.2118/222101-ms","title":"Artificial Intelligence Associated Drones Solutions for Waste Disposal Management in the Process Industries","year":2024,"lang":"en","type":"article","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Drone; Process (computing); Computer science; Waste management; Manufacturing engineering; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0005711347,0.00008241985,0.00006801508,0.00008522133,0.000129191,0.000545187,0.0007510776,0.00004138114,0.000008633227],"category_scores_gemma":[0.00004029339,0.00005339501,0.00003720558,0.0005181709,0.00003270388,0.0003465013,0.0001631633,0.0001295932,0.00002229522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003492209,"about_ca_system_score_gemma":0.00003709545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003249176,"about_ca_topic_score_gemma":0.0001166312,"domain_scores_codex":[0.9991044,0.00002327215,0.0001869647,0.0002259918,0.0001818927,0.0002774708],"domain_scores_gemma":[0.9996807,0.0000969724,0.0000241445,0.0001442162,0.0000370583,0.00001690244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000236043,0.00005920923,0.000006735864,0.0000224945,0.00002011289,0.000009509864,0.001980816,0.0003184055,0.000008028325,0.92691,0.003229356,0.06743298],"study_design_scores_gemma":[0.00003287648,0.00009946719,0.00008332072,0.0001447052,0.00001616033,0.000003858322,0.003407889,0.7657455,0.002479743,0.2238221,0.00396678,0.0001975777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01778691,0.00008985707,0.957687,0.01825827,0.0008319233,0.0004862281,0.00000553221,0.0001932278,0.004661027],"genre_scores_gemma":[0.9970338,0.000004248242,0.0009443942,0.0002953194,0.00006842115,0.00008873918,0.000003155845,0.000004494384,0.001557402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9792469,"threshold_uncertainty_score":0.5257251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04893447293143965,"score_gpt":0.304771211071064,"score_spread":0.2558367381396243,"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."}}