{"id":"W2096044934","doi":"10.1139/er-2014-0026","title":"Testing for dual impacts of contaminants and parasites on hosts: the importance of skew","year":2014,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Parasitism; Skew; Host (biology); Contamination; Biology; Null hypothesis; Ecology; Statistics; Mathematics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1238981,0.001564081,0.002797151,0.002856083,0.001378997,0.00421761,0.002628658,0.002236161,0.002534594],"category_scores_gemma":[0.3301182,0.0009040938,0.002643544,0.00309305,0.008065931,0.009551646,0.004282989,0.003243192,0.0004361635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182794,"about_ca_system_score_gemma":0.001821141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001288198,"about_ca_topic_score_gemma":0.001457463,"domain_scores_codex":[0.899803,0.06557415,0.009470074,0.01294624,0.01100007,0.001206451],"domain_scores_gemma":[0.3793898,0.5570386,0.03490705,0.01739016,0.009563798,0.001710626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001170436,0.0001188217,0.8293941,0.004007986,0.003874717,0.001568609,0.003209281,0.009520015,0.004405429,0.01466902,0.001272127,0.1267895],"study_design_scores_gemma":[0.0003401917,0.002773736,0.4996286,0.003759007,0.003968109,0.01060903,0.008142474,0.09202558,0.01706887,0.3408539,0.02036139,0.0004690886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6515499,0.02896482,0.3007455,0.006061724,0.0007738363,0.0005109042,0.001518999,0.0005802278,0.009294182],"genre_scores_gemma":[0.9664599,0.002077789,0.02900239,0.001354007,0.0002164334,0.0002012677,0.0003633306,0.0000793788,0.0002455147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1238981,"threshold_uncertainty_score":0.6552439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783450397214969,"score_gpt":0.328563845518935,"score_spread":0.3007293415467853,"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."}}