{"id":"W6944231872","doi":"10.17632/327jgx3p39","title":"Reclaimed wetlands support rich trematode and host diversity: Findings from a four-year survey","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Host (biology); Phylogenetic tree; Wetland; Freshwater mollusc; Phylogenetics; Helminths; Taxonomy (biology)","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":[0.0009645444,0.0004522398,0.0004420895,0.00239234,0.001175961,0.001198357,0.001185991,0.0004576879,0.003447498],"category_scores_gemma":[0.001958892,0.0002702758,0.0003301795,0.005216331,0.0004009402,0.0002314153,0.0008302408,0.0005179311,0.001200447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00690861,"about_ca_system_score_gemma":0.008075895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9478238,"about_ca_topic_score_gemma":0.9761185,"domain_scores_codex":[0.9995128,0.00003645006,0.00002575361,0.0001238953,0.0001374253,0.0001637628],"domain_scores_gemma":[0.9983689,0.0001524239,0.0002218136,0.0001351434,0.0008225372,0.0002992087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008911949,0.0001177818,0.6596246,0.001007857,0.0003299994,0.0005349592,0.002697064,0.002581605,0.003700133,0.001704001,0.2949585,0.03185235],"study_design_scores_gemma":[0.00004502598,0.00001327304,0.939479,0.0001368832,0.00006138964,0.00008295261,0.0008633863,0.0007281359,0.0005144776,0.0001063513,0.05794436,0.0000248332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1653496,0.0004844249,0.0004173804,0.0002150874,0.00002432884,0.00004287156,0.8293848,0.0002298581,0.003851641],"genre_scores_gemma":[0.2179333,0.0002616122,0.002073601,0.00008883653,0.00000821412,0.00006911639,0.7765432,0.00006241252,0.002959647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9478238,"threshold_uncertainty_score":0.104967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09766645579324336,"score_gpt":0.3025219801031752,"score_spread":0.2048555243099318,"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."}}