{"id":"W2912169197","doi":"10.7717/peerj.6308","title":"Improving the efficiency of the Fukui trap as a capture tool for the invasive European green crab ( <i>Carcinus maenas</i> ) in Newfoundland, Canada","year":2019,"lang":"en","type":"article","venue":"PeerJ","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"","keywords":"Carcinus maenas; Fishery; Crustacean; Bay; Trap (plumbing); Decapoda; Catch per unit effort; Fishing; Invasive species; Ecology; Environmental science; Biology; Geography; Archaeology; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001215746,0.0005089828,0.0004033885,0.0007824663,0.001630921,0.00112683,0.001247928,0.000459235,0.0007584857],"category_scores_gemma":[0.002088571,0.0003536209,0.0003676162,0.0004235626,0.001017494,0.0006941762,0.0007296559,0.0003699139,0.0001805919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0055174,"about_ca_system_score_gemma":0.005213717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5783629,"about_ca_topic_score_gemma":0.9006175,"domain_scores_codex":[0.998795,0.0001569186,0.00005113619,0.0002548236,0.000480532,0.0002615347],"domain_scores_gemma":[0.9982312,0.0002741362,0.0004935856,0.00009754781,0.0006601335,0.0002434644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007314825,0.0006250422,0.6524635,0.0005242988,0.0003641066,0.0006987817,0.003530901,0.005676855,0.2085143,0.0001693775,0.002232756,0.1244686],"study_design_scores_gemma":[0.00004327667,0.001492977,0.9461767,0.0001034137,0.0002695884,0.0004254566,0.002867824,0.007545826,0.03342703,0.00003183319,0.007511084,0.0001048945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965944,0.0002639217,0.001577819,0.0001423175,0.00001518737,0.0001068511,0.0001302352,0.00004429358,0.001124914],"genre_scores_gemma":[0.9795981,0.0003919322,0.0174218,0.0002342335,0.000009110646,0.0001257658,0.0002353154,0.00002299275,0.001960773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4216371,"threshold_uncertainty_score":0.8482404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005449346099048578,"score_gpt":0.1811724719956972,"score_spread":0.1757231258966487,"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."}}