{"id":"W4384341902","doi":"10.1080/17445647.2023.2223629","title":"Harmonizing multi-source backscatter data using bulk shift approaches to generate regional seabed maps: Bay of Fundy, Canada","year":2023,"lang":"en","type":"article","venue":"Journal of Maps","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Fisheries and Oceans Canada; Ocean Frontier Institute; Centre International de Recherche sur le Cancer","keywords":"Backscatter (email); Seabed; Seafloor spreading; Remote sensing; Sonar; Bay; Geology; Calibration; Echo sounding; Bathymetry; Oceanography; Computer science; Telecommunications; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008181612,0.0005260261,0.0003344364,0.003379041,0.001028174,0.001525571,0.0008402899,0.0002961307,0.001486126],"category_scores_gemma":[0.001298082,0.0002650829,0.0004985195,0.00522605,0.0004198646,0.0004313218,0.001292959,0.000332846,0.0004450964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005782612,"about_ca_system_score_gemma":0.01305931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.935551,"about_ca_topic_score_gemma":0.969655,"domain_scores_codex":[0.9993736,0.00002994694,0.00002340295,0.000116124,0.0003377965,0.0001192002],"domain_scores_gemma":[0.9987763,0.00005032675,0.00005738087,0.0001015526,0.0009276692,0.00008686574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003737937,0.0002528496,0.2698883,0.0003313858,0.0005252055,0.0007881908,0.002992221,0.08593588,0.03412425,0.001812993,0.0209948,0.58198],"study_design_scores_gemma":[0.00007151713,0.00007473111,0.8145353,0.0001407299,0.0001510242,0.0002125601,0.004761708,0.1129296,0.01215045,0.0008198482,0.05396814,0.000184395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8602788,0.001109906,0.08599404,0.0007683853,0.0001449056,0.000605301,0.02931567,0.003069241,0.01871376],"genre_scores_gemma":[0.8015888,0.0007831389,0.1658926,0.00008641184,0.0000277554,0.0002061712,0.02209169,0.0006473831,0.008676123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06444895,"threshold_uncertainty_score":0.129657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4585185282878726,"score_gpt":0.2997951865097259,"score_spread":0.1587233417781467,"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."}}