{"id":"W1972825789","doi":"10.1007/s10646-004-6271-0","title":"Mercury and other Contaminants in Common Loons Breeding in Atlantic Canada","year":2005,"lang":"en","type":"article","venue":"Ecotoxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Parks Canada; National Research Centre","keywords":"Mercury (programming language); Ecotoxicology; Environmental science; Contamination; Mercury contamination; Environmental protection; Fishery; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001459718,0.00007246789,0.0001563366,0.00003418609,0.00003921893,0.000004471638,0.00006026795,0.00004238579,0.0009329249],"category_scores_gemma":[0.00002262773,0.00006855015,0.000006850507,0.00009364099,0.00009113441,0.0000654107,0.00006880669,0.00008826514,0.00004405464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002209175,"about_ca_system_score_gemma":0.00001869214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2874012,"about_ca_topic_score_gemma":0.9905547,"domain_scores_codex":[0.9993662,0.0000436201,0.0001618979,0.0001329562,0.00006475367,0.0002305878],"domain_scores_gemma":[0.9997742,0.00008185849,0.00003408223,0.00005961261,0.000001087112,0.0000491821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004768684,0.00002271827,0.9914365,0.000001867181,0.000002171876,0.00001205762,0.0005275569,0.00003472933,0.002939089,0.00005343206,0.002629635,0.002335463],"study_design_scores_gemma":[0.0004097437,0.0000334805,0.9686098,0.000008261633,0.000002243044,0.0000152189,0.0002637449,0.000248476,0.0005779986,0.00005352694,0.02968554,0.00009194778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902418,0.00006476221,0.000001233035,0.001092498,0.00006948812,0.0001219758,0.000003133677,0.000004870046,0.00840025],"genre_scores_gemma":[0.9980089,0.00002271963,0.0000371749,0.001641056,0.00001749115,0.00001258872,7.066776e-7,0.000004798815,0.0002545818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7031535,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550389823626631,"score_gpt":0.2553700012300225,"score_spread":0.2398661029937562,"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."}}