{"id":"W6925455952","doi":"10.17895/ices.pub.24753912.v1","title":"Using electronic tags to estimate tagging mortality, and identify behavioural patterns of Atlantic sturgeon relative to interactions with tidal power infrastructure","year":2013,"lang":"en","type":"other","venue":"Open MIND","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sturgeon; Baseline (sea); Bay; Turbine; Tidal power; Structural basin; Otter; Channel (broadcasting)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001081877,0.0002250347,0.00009185495,0.001850387,0.0002751217,0.0003177844,0.0002585666,0.0002448708,0.003709666],"category_scores_gemma":[0.002205976,0.0001306196,0.0002137901,0.0008334527,0.0002602616,0.000328315,0.0004112375,0.0001562175,0.0008494699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005765711,"about_ca_system_score_gemma":0.0004637458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01828163,"about_ca_topic_score_gemma":0.0772058,"domain_scores_codex":[0.9996589,0.00009653957,0.00004010996,0.00007440162,0.00009376955,0.0000361297],"domain_scores_gemma":[0.9985864,0.0003492605,0.000497099,0.0001270462,0.0003431663,0.00009703149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001778129,0.0001003627,0.8932165,0.00007235404,0.00003513927,0.0001080396,0.0006228485,0.0003533019,0.004706922,0.0001723507,0.001305114,0.09912927],"study_design_scores_gemma":[0.000008462883,0.000301859,0.9920973,0.00003225897,0.00003620559,0.0001809798,0.0006234586,0.001094941,0.002509562,0.0001896578,0.002908155,0.0000171043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725537,0.0002523014,0.009969976,0.0002085324,0.00004346924,0.0001844241,0.003679782,0.0001150318,0.01299281],"genre_scores_gemma":[0.9590068,0.0004020621,0.02058968,0.0002370329,0.000031012,0.0002743485,0.002698714,0.00003827762,0.0167221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01828163,"threshold_uncertainty_score":0.03635043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04648494629034391,"score_gpt":0.3899057129705916,"score_spread":0.3434207666802477,"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."}}