{"id":"W2475036524","doi":"10.1080/07055900.2016.1190132","title":"Introduction to the Special Issue on Dynamics of the Gulf of St. Lawrence System and its Influence on the Ecosystem: Past, Present, and Future","year":2016,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Dalhousie University","funders":"","keywords":"Ecosystem; Dynamics (music); Oceanography; Environmental science; Environmental resource management; Environmental ethics; Ecology; Geology; Physics; Biology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000371355,0.0001785491,0.0002090031,0.000002979707,0.0002465516,0.00004055689,0.0004590827,0.00006745684,0.0002617298],"category_scores_gemma":[0.00004935981,0.00006877074,0.00004399576,0.0004027445,0.000159545,0.0001459283,0.0000466834,0.0001191937,0.00001825632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007755668,"about_ca_system_score_gemma":0.00003182394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001278264,"about_ca_topic_score_gemma":0.0005954781,"domain_scores_codex":[0.9986722,0.000149115,0.000276855,0.0003143023,0.0003725704,0.0002148927],"domain_scores_gemma":[0.9989035,0.0002895085,0.0002242347,0.0004074689,0.0001028159,0.00007246219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000685207,0.000105476,0.64114,0.0008568896,0.0002205567,0.000006377771,0.002487455,0.009415355,0.00004773266,0.01969003,0.1206048,0.2047401],"study_design_scores_gemma":[0.0007606092,0.001255223,0.503225,0.0009353339,0.0001208121,0.00005923718,0.008178866,0.007570516,0.0009350335,0.0007362426,0.475673,0.0005500744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746514,0.0003939472,0.00001555602,0.02163703,0.000666276,0.0004454933,0.0001623563,0.00001927293,0.002008654],"genre_scores_gemma":[0.9935138,0.0001824085,0.00003434616,0.000159824,0.005662583,9.737813e-7,0.000002577247,0.000005742713,0.0004377514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3550683,"threshold_uncertainty_score":0.2865758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004359805414142574,"score_gpt":0.179220285813223,"score_spread":0.1748604803990804,"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."}}