{"id":"W4292869764","doi":"10.7717/peerj.13763","title":"Identifying sources of variation in parasite aggregation","year":2022,"lang":"en","type":"article","venue":"PeerJ","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Biology; Parasite hosting; Host (biology); Abundance (ecology); Ecology; Zoology; Evolutionary biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.005334624,0.0003084886,0.0003670185,0.00111062,0.0005395465,0.0008776285,0.0005568715,0.0003530996,0.0005697387],"category_scores_gemma":[0.0112308,0.0002637506,0.0006835496,0.000982422,0.0006507492,0.0005084727,0.0009080068,0.0004950832,0.0001386724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005729435,"about_ca_system_score_gemma":0.0004173347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009039839,"about_ca_topic_score_gemma":0.01914834,"domain_scores_codex":[0.997329,0.001179188,0.0001919465,0.0007410416,0.0003704801,0.000188386],"domain_scores_gemma":[0.9896958,0.004855954,0.002934281,0.001577526,0.0007126175,0.0002238616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002419877,0.00001265281,0.9935539,0.00001056936,0.0001402008,0.00002697473,0.0002309932,0.001325957,0.001046162,0.0001796535,0.0001088977,0.003339965],"study_design_scores_gemma":[0.000001617731,0.0000223899,0.9874821,0.000007104189,0.00003317665,0.00005961144,0.0001318505,0.01141278,0.0003148286,0.0002900113,0.0002365166,0.000008048397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991704,0.0001525526,0.00701237,0.00004071175,0.000006962043,0.0000154092,0.0003313706,0.00005190968,0.0006847032],"genre_scores_gemma":[0.9977646,0.00002423282,0.001702028,0.00001214,0.000004149671,0.00001002711,0.0003817299,0.00001405194,0.00008709796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009039839,"threshold_uncertainty_score":0.02821255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993575014812243,"score_gpt":0.3183694170168212,"score_spread":0.2984336668686988,"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."}}