{"id":"W2004018390","doi":"10.1016/j.jglr.2014.11.021","title":"Artificial reefs and reef restoration in the Laurentian Great Lakes","year":2014,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reef; Fishery; Artificial reef; Habitat; Fishing; Environmental science; Population; Tributary; Oceanography; Geography; Ecology; Geology; Biology; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005127356,0.00008662826,0.00008530468,0.0003198994,0.0008693244,0.0008684054,0.0004763415,0.0004740653,0.001640825],"category_scores_gemma":[0.002597909,0.000102766,0.0001010864,0.0003904663,0.001787886,0.0004887028,0.001088611,0.0003132301,0.00005760467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003955815,"about_ca_system_score_gemma":0.002262462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2171009,"about_ca_topic_score_gemma":0.6155277,"domain_scores_codex":[0.999689,0.0001398017,0.00001184965,0.00002726884,0.00004619216,0.00008593153],"domain_scores_gemma":[0.9991457,0.0001197336,0.0003025938,0.00002459014,0.00007256374,0.0003346816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005092582,0.0002622224,0.9320843,0.0001195102,0.0001430304,0.001430664,0.01020049,0.001535464,0.001471605,0.004642834,0.003736716,0.04386379],"study_design_scores_gemma":[0.000009061686,0.00005498553,0.9920011,0.00001153463,0.00001041848,0.0000866902,0.004735743,0.0004310083,0.00005940354,0.0002765248,0.002318096,0.000005535221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973852,0.0003800603,0.00001631091,0.0007944039,0.000006937744,0.00000153009,0.00002218829,0.000001701981,0.001391678],"genre_scores_gemma":[0.9990075,0.0002077633,0.00003875166,0.00004708574,0.000007874245,0.000002003165,0.00001276441,8.813173e-7,0.0006753281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7828991,"threshold_uncertainty_score":0.4316745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04885215248894609,"score_gpt":0.3165519716284771,"score_spread":0.267699819139531,"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."}}