{"id":"W2552175806","doi":"10.1007/s10646-016-1745-4","title":"Relationships between blood mercury levels, reproduction, and return rate in a small seabird","year":2016,"lang":"en","type":"article","venue":"Ecotoxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Dalhousie University; Acadia University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Acadia University","keywords":"Seabird; Ecotoxicology; Mercury (programming language); Reproduction; Ecology; Biology; Environmental science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000961557,0.0001058382,0.000170355,0.00005701934,0.0001408464,0.000008246278,0.00007846178,0.000111268,0.000863864],"category_scores_gemma":[0.0007148124,0.00007846627,0.00001928811,0.0001775533,0.0002511417,0.0001639436,0.0001180662,0.0001443371,0.0002723442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006617596,"about_ca_system_score_gemma":0.00001189642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003480846,"about_ca_topic_score_gemma":0.00100197,"domain_scores_codex":[0.9987992,0.0002895978,0.0002471253,0.0003665071,0.00005489267,0.0002426638],"domain_scores_gemma":[0.9993216,0.0002859572,0.00008264845,0.0002101916,0.000008444737,0.00009113138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005544468,0.00002371432,0.9618736,0.000002785452,0.00001400433,0.000003753938,0.0006128756,0.000001406109,0.03234652,0.0001334771,0.001340465,0.003641861],"study_design_scores_gemma":[0.0004879182,0.00006682528,0.9783959,0.000008741503,0.00001778364,0.00001268065,0.00008318223,0.000001589035,0.0088951,0.00436638,0.007544069,0.0001197821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903271,0.00007968529,0.00007820698,0.006832018,0.0001177308,0.0002095622,0.000009432455,0.00003697103,0.002309358],"genre_scores_gemma":[0.9968984,0.00008393395,0.0003278845,0.0001299018,0.00008254604,0.00003272531,0.000001667717,0.000009589317,0.002433413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02345142,"threshold_uncertainty_score":0.9458705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06147250492340423,"score_gpt":0.2674057904637127,"score_spread":0.2059332855403085,"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."}}