{"id":"W2358191042","doi":"","title":"Robot Dynamic Visual Detection System Based on Genetic Algorithm","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Robot; Genetic algorithm; Feature (linguistics); Base (topology); Matching (statistics); Algorithm; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002134151,0.0003590625,0.0005072646,0.0005446354,0.0003398199,0.0004643203,0.0007123608,0.0005169531,0.001470914],"category_scores_gemma":[0.000391725,0.0002281312,0.0002338962,0.0003156887,0.0002415654,0.0004067919,0.0003295631,0.0002989355,0.0004222198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004107391,"about_ca_system_score_gemma":0.0005503813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003235065,"about_ca_topic_score_gemma":0.00164642,"domain_scores_codex":[0.9997291,0.00003271337,0.000008767565,0.00007899295,0.000120434,0.00002982282],"domain_scores_gemma":[0.9998752,0.00002759784,0.00001648546,0.00001228078,0.00005785624,0.00001060385],"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":[0.0002904148,0.0001376213,0.002187607,0.0002792271,0.00008667896,0.0002923683,0.0002534795,0.1478691,0.1991374,0.01662371,0.005527015,0.6273154],"study_design_scores_gemma":[0.0001358154,0.0002929787,0.002376097,0.00003944635,0.00006048548,0.0004564353,0.00004578005,0.9367372,0.03891932,0.004457432,0.01639861,0.00008042406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0337642,0.0003852286,0.9560628,0.0001276457,0.00009331871,0.00008530883,0.00005006819,0.004109959,0.00532147],"genre_scores_gemma":[0.5945476,0.0004105183,0.3955517,0.0001779696,0.00003876139,0.0002475732,0.0001538224,0.0001185116,0.008753642],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003235065,"threshold_uncertainty_score":0.006432474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00344150187009233,"score_gpt":0.2517808969051041,"score_spread":0.2483393950350118,"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."}}