{"id":"W2783491004","doi":"10.7717/peerj.4223","title":"Using underwater video to evaluate the performance of the Fukui trap as a mitigation tool for the invasive European green crab ( <i>Carcinus maenas</i> ) in Newfoundland, Canada","year":2018,"lang":"en","type":"article","venue":"PeerJ","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Research and Development Corporation of Newfoundland and Labrador; Marine Environmental Observation Prediction and Response Network","keywords":"Carcinus maenas; Fishery; Trap (plumbing); Ecosystem; Environmental science; Decapoda; Catch per unit effort; Fishing; Ecology; Crustacean; Biology; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004882427,0.00009446501,0.00009609017,0.000009052879,0.000327307,0.00001955614,0.0003066853,0.00001073423,0.00006927057],"category_scores_gemma":[0.00006174251,0.00004337269,0.00003796547,0.00016202,0.0001120733,0.00007410892,0.0003036898,0.00005705501,0.00002816511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002182676,"about_ca_system_score_gemma":0.00005391057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5562326,"about_ca_topic_score_gemma":0.9476866,"domain_scores_codex":[0.9991214,0.00008797332,0.0001768545,0.0001546408,0.0002659065,0.000193274],"domain_scores_gemma":[0.9995365,0.0001223358,0.00005563421,0.0002322952,0.00003066794,0.00002255924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001437717,0.00002911805,0.937135,0.00006892678,0.00005464995,0.000002869178,0.00603727,0.002395805,0.02342657,0.00005686358,0.01442392,0.01622518],"study_design_scores_gemma":[0.000383309,0.0001194588,0.9654079,0.00004392441,0.00003980893,0.00001074987,0.0003025612,0.004023853,0.003628344,0.0001974365,0.02571196,0.0001307185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908164,0.00001452172,0.00003926003,0.00613126,0.0002244191,0.000614348,0.000008315465,0.000004011794,0.002147422],"genre_scores_gemma":[0.9965507,0.000004291001,0.00003236283,0.001536457,0.0001010208,0.00003137686,9.647438e-7,0.000008672969,0.001734162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.391454,"threshold_uncertainty_score":0.4467225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262340093509889,"score_gpt":0.2367244775227878,"score_spread":0.214101076587689,"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."}}