{"id":"W4300020427","doi":"","title":"Potential of underwater sonar systems for port infrastructure inspection","year":2008,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Sonar; Port (circuit theory); Underwater; Marine engineering; Computer science; Underwater acoustic communication; Geology; Engineering; Oceanography; Electrical engineering; Artificial intelligence","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":[0.001019992,0.000757149,0.0006315855,0.0005745232,0.0002765531,0.0009345809,0.0007352568,0.001473737,0.01297363],"category_scores_gemma":[0.001488181,0.0003181876,0.0003243322,0.0006138605,0.000490146,0.001826126,0.0006960396,0.0007289658,0.002654866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016657,"about_ca_system_score_gemma":0.0004582799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006986583,"about_ca_topic_score_gemma":0.0007712432,"domain_scores_codex":[0.9995647,0.0001586454,0.00001059888,0.0000648994,0.0001535077,0.00004765021],"domain_scores_gemma":[0.9986508,0.0005772046,0.00007025621,0.00008442629,0.0005324651,0.00008479302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00224978,0.0001992932,0.005615382,0.0008627385,0.0001550941,0.0005053804,0.0003012399,0.03096089,0.297486,0.01327331,0.01056761,0.6378232],"study_design_scores_gemma":[0.000426838,0.006155874,0.0131853,0.0006565281,0.0007222038,0.002429902,0.001307071,0.3612748,0.3409977,0.02574118,0.2467937,0.0003088613],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.183928,0.02582176,0.6348896,0.008237142,0.001870868,0.0003843321,0.0009024525,0.004519821,0.139446],"genre_scores_gemma":[0.8051848,0.007748771,0.1256936,0.0009791399,0.0009112402,0.0001436979,0.000734721,0.0002323183,0.05837157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01297363,"threshold_uncertainty_score":0.04340112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147931021155094,"score_gpt":0.2151169291284112,"score_spread":0.2003238270129018,"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."}}