{"id":"W2730419140","doi":"","title":"Precision of imaging algorithm based on ToF estimation of guided waves : experimental assessment","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Algorithm; Estimation; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002942359,0.0008517702,0.0006562337,0.000795465,0.0005431002,0.001652411,0.001179504,0.001865891,0.003290142],"category_scores_gemma":[0.01180652,0.0003194852,0.0003036692,0.0007465748,0.0006571675,0.001843181,0.001377471,0.0008437994,0.0008614903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005259016,"about_ca_system_score_gemma":0.0008742452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191815,"about_ca_topic_score_gemma":0.0007886281,"domain_scores_codex":[0.9981455,0.0004006146,0.00009896959,0.0003742165,0.0008500311,0.0001306735],"domain_scores_gemma":[0.9903201,0.004299067,0.0007814157,0.001483064,0.00299193,0.0001243921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005135754,0.0003928827,0.01076527,0.0009784984,0.0002265439,0.0001943422,0.0006087992,0.04280078,0.546679,0.005765485,0.001925783,0.3845269],"study_design_scores_gemma":[0.0001414398,0.001245752,0.01359669,0.0001838872,0.0001760077,0.0009467936,0.0003394513,0.3652367,0.6098092,0.002693443,0.005486003,0.0001446425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2803674,0.001554176,0.7092331,0.0004054639,0.0002446208,0.0001732533,0.0004422888,0.002139495,0.005440114],"genre_scores_gemma":[0.7510313,0.0004937062,0.2455921,0.0001029768,0.00003850332,0.00007507805,0.0004238378,0.0003266538,0.001915729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003290142,"threshold_uncertainty_score":0.01556087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785738050403501,"score_gpt":0.2968368759003835,"score_spread":0.2789794953963485,"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."}}