{"id":"W2948014132","doi":"10.1139/cjes-2018-0311","title":"Distribution and morphology of inner-shelf sand bodies off southwest Newfoundland based on merged multibeam sonar and LiDAR data","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Geological Survey of Canada","funders":"Natural Resources Canada","keywords":"Geology; Seafloor spreading; Bedrock; Bathymetry; Submarine pipeline; Oceanography; Marine transgression; Submarine canyon; Canyon; Continental shelf; Sonar; Channel (broadcasting); Geomorphology; Shoal; Seabed; Structural basin","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001471126,0.0001351793,0.0001392533,0.001380149,0.0004740167,0.0005534508,0.0002433846,0.0001085282,0.001429587],"category_scores_gemma":[0.0003718534,0.0001481303,0.0001190775,0.001417732,0.0004134264,0.0002239098,0.0005006453,0.0001121948,0.0002548922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002960493,"about_ca_system_score_gemma":0.001648707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.861165,"about_ca_topic_score_gemma":0.9710054,"domain_scores_codex":[0.9998888,0.000004818258,0.00001053961,0.00002733627,0.00002132244,0.00004724441],"domain_scores_gemma":[0.9993814,0.00004523665,0.0002013772,0.00004061199,0.0002075359,0.000123832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002250726,0.000007391217,0.98831,0.0000184581,0.00002127628,0.0001193355,0.0006383086,0.0001816113,0.0018543,0.00003813117,0.000602391,0.008186248],"study_design_scores_gemma":[5.073846e-7,0.000002489378,0.9991671,0.000004651876,0.000003341105,0.00002635552,0.0002444792,0.00006742074,0.00006407078,0.000001586992,0.0004165173,0.000001451016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968443,0.0001099236,0.00008160497,0.00002715129,0.000001724432,0.000003845638,0.001759983,0.0000125978,0.001158825],"genre_scores_gemma":[0.9965389,0.000148161,0.0003236888,0.00002095738,0.000001657985,0.000007453291,0.0016211,0.000004136135,0.001333938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.138835,"threshold_uncertainty_score":0.2793051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488941715286607,"score_gpt":0.2220017096878218,"score_spread":0.1971122925349557,"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."}}