{"id":"W4404356575","doi":"10.1007/978-3-031-73503-5_5","title":"AIMSM - A Mechanism to Optimize Systems with Multiple AI Models: A Case Study in Computer Vision for Autonomous Mobile Robots","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Mobile robot; Mechanism (biology); Robot; Artificial intelligence; Human–computer interaction; Computer vision","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007668026,0.0008618601,0.0009314339,0.001244356,0.0003538829,0.001050181,0.002759776,0.0002847727,0.000001145715],"category_scores_gemma":[0.0000130088,0.0007311951,0.0001318914,0.001419263,0.0002051603,0.0009360855,0.002113476,0.0009350052,0.00002242442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006862435,"about_ca_system_score_gemma":0.0003944958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001847622,"about_ca_topic_score_gemma":0.0009055905,"domain_scores_codex":[0.9940573,0.00005055933,0.0008864499,0.003185486,0.0008523602,0.0009678482],"domain_scores_gemma":[0.9961251,0.0008681979,0.0002658939,0.002072055,0.0003408708,0.0003278636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002088216,0.0001224005,0.000002506822,0.00005289486,0.00001473143,0.001513015,0.001608743,0.9214697,0.00001788715,0.009612715,0.00001415565,0.06555041],"study_design_scores_gemma":[0.0007019485,0.001661333,0.000001443722,0.0005671474,0.00001735485,0.001462744,0.000003106999,0.9435233,0.00003226691,0.05105253,0.0001668884,0.0008098913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005918241,0.000282909,0.9897231,0.0003904988,0.00140439,0.007112921,0.00002093631,0.0004194464,0.00005395269],"genre_scores_gemma":[0.390076,0.00000546305,0.6077289,0.0006461875,0.0002989286,0.001015891,0.000004424594,0.00008123904,0.000142988],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3894842,"threshold_uncertainty_score":0.9999868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468046917743575,"score_gpt":0.2870836643168783,"score_spread":0.2624031951394425,"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."}}