{"id":"W2598545891","doi":"10.14313/jamris_1-2017/4","title":"Multi-Strategy Navigation for a Mobile Data Acquisition Platform Using Genetic Algorithms","year":2017,"lang":"en","type":"article","venue":"Journal of Automation Mobile Robotics & Intelligent Systems","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer science; Artificial intelligence; Algorithm","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001463436,0.0002351197,0.0003981409,0.0002607319,0.0005103439,0.001615093,0.002893232,0.0001147652,0.000006349971],"category_scores_gemma":[0.00005390945,0.0002121941,0.0001389542,0.0001248934,0.00005284408,0.004275509,0.0004866551,0.0001586333,0.000026996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001968813,"about_ca_system_score_gemma":0.0001316197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005261564,"about_ca_topic_score_gemma":0.000002012679,"domain_scores_codex":[0.9973457,0.00006403548,0.001244902,0.0003910146,0.0006391776,0.0003151555],"domain_scores_gemma":[0.9952262,0.00009185933,0.002323728,0.001595208,0.0006261198,0.0001368904],"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":[0.000009974177,0.0002079317,0.0001079361,0.0002275676,0.0001459995,0.00002794115,0.000242086,0.9263683,0.000732061,0.0007575777,0.0005892364,0.07058342],"study_design_scores_gemma":[0.0005288121,0.0003361761,0.000383761,0.000317468,0.00008078083,0.0001609754,0.0002789263,0.9955377,0.0004672195,0.0002018321,0.001478652,0.0002277236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006986358,0.000604308,0.9879813,0.00003274758,0.003021484,0.001203516,0.00009387131,0.00006315183,0.00001329175],"genre_scores_gemma":[0.2835396,0.0001859733,0.7148983,0.00001898915,0.0009021783,0.0000628178,0.0001848915,0.00003521193,0.0001720772],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2765532,"threshold_uncertainty_score":0.9994213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155507472364619,"score_gpt":0.3635139512787691,"score_spread":0.2479632040423073,"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."}}