{"id":"W4283782236","doi":"10.1016/j.jglr.2022.06.004","title":"Developing and monitoring an innovative NNBF to nourish a bay bar: An example from the southeast shore of Lake Ontario","year":2022,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cobble; Shore; Bay; Sediment; Photogrammetry; Seawall; Cove; Sediment transport; Jetty; Environmental science; Geology; Accretion (finance); Natural (archaeology); Oceanography; Hydrology (agriculture); Remote sensing; Geotechnical engineering; Geomorphology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0007609511,0.0003311192,0.0002678712,0.0008282149,0.003075102,0.001182522,0.0009010414,0.0007162601,0.001448153],"category_scores_gemma":[0.001511441,0.0001954414,0.0002216494,0.001156739,0.0007591177,0.0005454482,0.001118448,0.0005218427,0.000345804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009880601,"about_ca_system_score_gemma":0.02030184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9224817,"about_ca_topic_score_gemma":0.9857998,"domain_scores_codex":[0.9992987,0.00005653903,0.00002444446,0.0000894705,0.0003677243,0.0001630685],"domain_scores_gemma":[0.9982643,0.00007668488,0.0001391425,0.00006922935,0.001155532,0.0002952587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000254864,0.0003284775,0.7574614,0.0003975692,0.00007789668,0.001744502,0.01589344,0.004895372,0.04347516,0.001331334,0.008547749,0.1655923],"study_design_scores_gemma":[0.0000456501,0.0004796902,0.8984331,0.0001288208,0.00008663694,0.0002289757,0.02533813,0.01041461,0.004974282,0.0004170269,0.05939534,0.00005773719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672422,0.0002589861,0.006124925,0.00152538,0.00005283223,0.0006381481,0.001022702,0.0001622358,0.02297262],"genre_scores_gemma":[0.9417155,0.0003904336,0.03562615,0.0003337991,0.00001812702,0.0001713207,0.001013093,0.00004876045,0.02068276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07751828,"threshold_uncertainty_score":0.1559495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044497872907319,"score_gpt":0.3125832765397011,"score_spread":0.2081334892489692,"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."}}