{"id":"W7154803095","doi":"","title":"Chesapeake Bay Cafe Data","year":2025,"lang":"","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Chesapeake bay; Nutrient; Bay; Hydrology (agriculture)","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":[0.00045245,0.001076155,0.000551653,0.002075284,0.0005561335,0.001139206,0.001449826,0.0009431734,0.0215808],"category_scores_gemma":[0.002663266,0.0002829951,0.0004193086,0.004138024,0.0002534462,0.0005816508,0.0008521269,0.0007959896,0.01346058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001881502,"about_ca_system_score_gemma":0.001489166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2403439,"about_ca_topic_score_gemma":0.269993,"domain_scores_codex":[0.9995975,0.0000511621,0.00003784135,0.0001199858,0.0001305465,0.00006288756],"domain_scores_gemma":[0.998507,0.0002700786,0.0001814197,0.0001885643,0.0006565992,0.0001964344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001268207,0.00005670589,0.01231346,0.0002873302,0.00005148173,0.00009009597,0.0000638655,0.001271861,0.0002050856,0.0005735673,0.9791251,0.005834633],"study_design_scores_gemma":[0.0003343724,0.00004165752,0.07916447,0.0002888888,0.00005356952,0.000112027,0.0004221209,0.005481949,0.0008964019,0.0009509199,0.9121761,0.00007750593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002174716,0.00007079165,0.00005106425,0.0001078052,0.00001500639,0.00001215779,0.9965237,0.0001433279,0.0009014069],"genre_scores_gemma":[0.003815064,0.00005256309,0.0003322527,0.00004334481,0.00000795275,0.00005742523,0.9947536,0.00002145106,0.0009163613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2403439,"threshold_uncertainty_score":0.4778898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1426521446854654,"score_gpt":0.406070960062386,"score_spread":0.2634188153769206,"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."}}